01538nas a2200169 4500008004200000245012100042210006900163520094900232100001801181700001701199700002501216700001801241700002201259700002201281700002001303856004501323 In Press d 00aDevelopment of a Computerized Adaptive Test for Anxiety Based on the Dutch–Flemish Version of the PROMIS Item Bank0 aDevelopment of a Computerized Adaptive Test for Anxiety Based on3 aWe used the Dutch–Flemish version of the USA PROMIS adult V1.0 item bank for Anxiety as input for developing a computerized adaptive test (CAT) to measure the entire latent anxiety continuum. First, psychometric analysis of a combined clinical and general population sample (N = 2,010) showed that the 29-item bank has psychometric properties that are required for a CAT administration. Second, a post hoc CAT simulation showed efficient and highly precise measurement, with an average number of 8.64 items for the clinical sample, and 9.48 items for the general population sample. Furthermore, the accuracy of our CAT version was highly similar to that of the full item bank administration, both in final score estimates and in distinguishing clinical subjects from persons without a mental health disorder. We discuss the future directions and limitations of CAT development with the Dutch–Flemish version of the PROMIS Anxiety item bank.1 aFlens, Gerard1 aSmits, Niels1 aTerwee, Caroline, B.1 aDekker, Joost1 aHuijbrechts, Irma1 aSpinhoven, Philip1 ade Beurs, Edwin uhttps://doi.org/10.1177/107319111774674200733nas a2200193 4500008004500000245009100045210006900136300001000205490000700215653003500222653003400257653002900291653002600320100001900346700002700365700002400392700002100416856010200437 2023 Engldsh 00aHow Do Trait Change Patterns Affect the Performance of Adaptive Measurement of Change?0 aHow Do Trait Change Patterns Affect the Performance of Adaptive  a32-580 v1010aadaptive measurement of change10acomputerized adaptive testing10alongitudinal measurement10atrait change patterns1 aTai, Ming, Him1 aCooperman, Allison, W.1 aDeWeese, Joseph, N.1 aWeiss, David, J. uhttp://mail.iacat.org/how-do-trait-change-patterns-affect-performance-adaptive-measurement-change02729nas a2200145 4500008003900000245012200039210006900161490000700230520216000237100003002397700002702427700002802454700002502482856007602507 2020 d00aComputerized adaptive testing to screen children for emotional and behavioral problems by preventive child healthcare0 aComputerized adaptive testing to screen children for emotional a0 v203 a

Background

Questionnaires to detect emotional and behavioral problems (EBP) in Preventive Child Healthcare (PCH) should be short which potentially affects validity and reliability. Simulation studies have shown that Computerized Adaptive Testing (CAT) could overcome these weaknesses. We studied the applicability (using the measures participation rate, satisfaction, and efficiency) and the validity of CAT in routine PCH practice.

Methods

We analyzed data on 461 children aged 10–11 years (response 41%), who were assessed during routine well-child examinations by PCH professionals. Before the visit, parents completed the CAT and the Child Behavior Checklist (CBCL). Satisfaction was measured by parent- and PCH professional-report. Efficiency of the CAT procedure was measured as number of items needed to assess whether a child has serious problems or not. Its validity was assessed using the CBCL as the criterion.

Results

Parents and PCH professionals rated the CAT on average as good. The procedure required at average 16 items to assess whether a child has serious problems or not. Agreement of scores on the CAT scales with corresponding CBCL scales was high (range of Spearman correlations 0.59–0.72). Area Under Curves (AUC) were high (range: 0.95–0.97) for the Psycat total, externalizing, and hyperactivity scales using corresponding CBCL scale scores as criterion. For the Psycat internalizing scale the AUC was somewhat lower but still high (0.86).

Conclusions

CAT is a valid procedure for the identification of emotional and behavioral problems in children aged 10–11 years. It may support the efficient and accurate identification of children with overall, and potentially also specific, emotional and behavioral problems in routine PCH.

1 aTheunissen, Meninou, H.C.1 ade Wolff, Marianne, S.1 aDeurloo, Jacqueline, A.1 aVogels, Anton, G. C. uhttps://bmcpediatr.biomedcentral.com/articles/10.1186/s12887-020-2018-102064nas a2200157 4500008003900000245009100039210006900130300001200199490000700211520157600218100001501794700001901809700001401828700001901842856004501861 2020 d00aStratified Item Selection Methods in Cognitive Diagnosis Computerized Adaptive Testing0 aStratified Item Selection Methods in Cognitive Diagnosis Compute a346-3610 v443 aCognitive diagnostic computerized adaptive testing (CD-CAT) aims to obtain more useful diagnostic information by taking advantages of computerized adaptive testing (CAT). Cognitive diagnosis models (CDMs) have been developed to classify examinees into the correct proficiency classes so as to get more efficient remediation, whereas CAT tailors optimal items to the examinee’s mastery profile. The item selection method is the key factor of the CD-CAT procedure. In recent years, a large number of parametric/nonparametric item selection methods have been proposed. In this article, the authors proposed a series of stratified item selection methods in CD-CAT, which are combined with posterior-weighted Kullback–Leibler (PWKL), nonparametric item selection (NPS), and weighted nonparametric item selection (WNPS) methods, and named S-PWKL, S-NPS, and S-WNPS, respectively. Two different types of stratification indices were used: original versus novel. The performances of the proposed item selection methods were evaluated via simulation studies and compared with the PWKL, NPS, and WNPS methods without stratification. Manipulated conditions included calibration sample size, item quality, number of attributes, number of strata, and data generation models. Results indicated that the S-WNPS and S-NPS methods performed similarly, and both outperformed the S-PWKL method. And item selection methods with novel stratification indices performed slightly better than the ones with original stratification indices, and those without stratification performed the worst.1 aYang, Jing1 aChang, Hua-Hua1 aTao, Jian1 aShi, Ningzhong uhttps://doi.org/10.1177/014662161989378301915nas a2200145 4500008003900000245007200039210006900111300001200180490000700192520146600199100002001665700001801685700002101703856004501724 2019 d00aNonparametric CAT for CD in Educational Settings With Small Samples0 aNonparametric CAT for CD in Educational Settings With Small Samp a543-5610 v433 aCognitive diagnostic computerized adaptive testing (CD-CAT) has been suggested by researchers as a diagnostic tool for assessment and evaluation. Although model-based CD-CAT is relatively well researched in the context of large-scale assessment systems, this type of system has not received the same degree of research and development in small-scale settings, such as at the course-based level, where this system would be the most useful. The main obstacle is that the statistical estimation techniques that are successfully applied within the context of a large-scale assessment require large samples to guarantee reliable calibration of the item parameters and an accurate estimation of the examinees’ proficiency class membership. Such samples are simply not obtainable in course-based settings. Therefore, the nonparametric item selection (NPS) method that does not require any parameter calibration, and thus, can be used in small educational programs is proposed in the study. The proposed nonparametric CD-CAT uses the nonparametric classification (NPC) method to estimate an examinee’s attribute profile and based on the examinee’s item responses, the item that can best discriminate the estimated attribute profile and the other attribute profiles is then selected. The simulation results show that the NPS method outperformed the compared parametric CD-CAT algorithms and the differences were substantial when the calibration samples were small.1 aChang, Yuan-Pei1 aChiu, Chia-Yi1 aTsai, Rung-Ching uhttps://doi.org/10.1177/014662161881311301840nas a2200157 4500008003900000245010800039210006900147300001200216490000700228520134100235100001501576700001601591700001301607700001701620856004501637 2018 d00aItem Selection Methods in Multidimensional Computerized Adaptive Testing With Polytomously Scored Items0 aItem Selection Methods in Multidimensional Computerized Adaptive a677-6940 v423 aMultidimensional computerized adaptive testing (MCAT) has been developed over the past decades, and most of them can only deal with dichotomously scored items. However, polytomously scored items have been broadly used in a variety of tests for their advantages of providing more information and testing complicated abilities and skills. The purpose of this study is to discuss the item selection algorithms used in MCAT with polytomously scored items (PMCAT). Several promising item selection algorithms used in MCAT are extended to PMCAT, and two new item selection methods are proposed to improve the existing selection strategies. Two simulation studies are conducted to demonstrate the feasibility of the extended and proposed methods. The simulation results show that most of the extended item selection methods for PMCAT are feasible and the new proposed item selection methods perform well. Combined with the security of the pool, when two dimensions are considered (Study 1), the proposed modified continuous entropy method (MCEM) is the ideal of all in that it gains the lowest item exposure rate and has a relatively high accuracy. As for high dimensions (Study 2), results show that mutual information (MUI) and MCEM keep relatively high estimation accuracy, and the item exposure rates decrease as the correlation increases.1 aTu, Dongbo1 aHan, Yuting1 aCai, Yan1 aGao, Xuliang uhttps://doi.org/10.1177/014662161876274800565nas a2200145 4500008003900000245008100039210006900120100002400189700002200213700001600235700001900251700002300270700002500293856010100318 2018 d00aMeasuring patient-reported outcomes adaptively: Multidimensionality matters!0 aMeasuring patientreported outcomes adaptively Multidimensionalit1 aPaap, Muirne, C. S.1 aKroeze, Karel, A.1 aGlas, C A W1 aTerwee, C., B.1 avan der Palen, Job1 aVeldkamp, Bernard, P uhttp://mail.iacat.org/measuring-patient-reported-outcomes-adaptively-multidimensionality-matters01848nas a2200145 4500008003900000245011000039210006900149300001200218490000700230520135600237100001801593700001301611700001501624856006301639 2018 d00aOn-the-Fly Constraint-Controlled Assembly Methods for Multistage Adaptive Testing for Cognitive Diagnosis0 aOntheFly ConstraintControlled Assembly Methods for Multistage Ad a595-6130 v553 aAbstract This study applied the mode of on-the-fly assembled multistage adaptive testing to cognitive diagnosis (CD-OMST). Several and several module assembly methods for CD-OMST were proposed and compared in terms of measurement precision, test security, and constrain management. The module assembly methods in the study included the maximum priority index method (MPI), the revised maximum priority index (RMPI), the weighted deviation model (WDM), and the two revised Monte Carlo methods (R1-MC, R2-MC). Simulation results showed that on the whole the CD-OMST performs well in that it not only has acceptable attribute pattern correct classification rates but also satisfies both statistical and nonstatistical constraints; the RMPI method was generally better than the MPI method, the R2-MC method was generally better than the R1-MC method, and the two revised Monte Carlo methods performed best in terms of test security and constraint management, whereas the RMPI and WDM methods worked best in terms of measurement precision. The study is not only expected to provide information about how to combine MST and CD using an on-the-fly method and how do these assembled methods in CD-OMST perform relative to each other but also offer guidance for practitioners to assemble modules in CD-OMST with both statistical and nonstatistical constraints.1 aLiu, Shuchang1 aCai, Yan1 aTu, Dongbo uhttps://onlinelibrary.wiley.com/doi/abs/10.1111/jedm.1219404447nas a2200157 4500008004100000245009700041210006900138260005500207520381800262653001104080653002804091100002004119700001804139700002104157856011104178 2017 eng d00aComputerized Adaptive Testing for Cognitive Diagnosis in Classroom: A Nonparametric Approach0 aComputerized Adaptive Testing for Cognitive Diagnosis in Classro aNiigata, JapanbNiigata Seiryo Universityc08/20173 a

In the past decade, CDMs of educational test performance have received increasing attention among educational researchers (for details, see Fu & Li, 2007, and Rupp, Templin, & Henson, 2010). CDMs of educational test performance decompose the ability domain of a given test into specific skills, called attributes, each of which an examinee may or may not have mastered. The resulting attribute profile documents the individual’s strengths and weaknesses within the ability domain. The Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) has been suggested by researchers as a diagnostic tool for assessment and evaluation (e.g., Cheng & Chang, 2007; Cheng, 2009; Liu, You, Wang, Ding, & Chang, 2013; Tatsuoka & Tatsuoka, 1997). While model-based CD-CAT is relatively well-researched in the context of large-scale assessments, this type of system has not received the same degree of development in small-scale settings, where it would be most useful. The main challenge is that the statistical estimation techniques successfully applied to the parametric CD-CAT require large samples to guarantee the reliable calibration of item parameters and accurate estimation of examinees’ attribute profiles. In response to the challenge, a nonparametric approach that does not require any parameter calibration, and thus can be used in small educational programs, is proposed. The proposed nonparametric CD-CAT relies on the same principle as the regular CAT algorithm, but uses the nonparametric classification method (Chiu & Douglas, 2013) to assess and update the student’s ability state while the test proceeds. Based on a student’s initial responses, 2 a neighborhood of candidate proficiency classes is identified, and items not characteristic of the chosen proficiency classes are precluded from being chosen next. The response to the next item then allows for an update of the skill profile, and the set of possible proficiency classes is further narrowed. In this manner, the nonparametric CD-CAT cycles through item administration and update stages until the most likely proficiency class has been pinpointed. The simulation results show that the proposed method outperformed the compared parametric CD-CAT algorithms and the differences were significant when the item parameter calibration was not optimal.

References

Cheng, Y. (2009). When cognitive diagnosis meets computerized adaptive testing: CD-CAT. Psychometrika, 74, 619-632.

Cheng, Y., & Chang, H. (2007). The modified maximum global discrimination index method for cognitive diagnostic CAT. In D. Weiss (Ed.) Proceedings of the 2007 GMAC Computerized Adaptive Testing Conference.

Chiu, C.-Y., & Douglas, J. A. (2013). A nonparametric approach to cognitive diagnosis by proximity to ideal response patterns. Journal of Classification, 30, 225-250.

Fu, J., & Li, Y. (2007). An integrative review of cognitively diagnostic psychometric models. Paper presented at the Annual Meeting of the National Council on Measurement in Education. Chicago, Illinois.

Liu, H., You, X., Wang, W., Ding, S., & Chang, H. (2013). The development of computerized adaptive testing with cognitive diagnosis for an English achievement test in China. Journal of Classification, 30, 152-172.

Rupp, A. A., & Templin, J. L., & Henson, R. A. (2010). Diagnostic Measurement. Theory, Methods, and Applications. New York: Guilford.

Tatsuoka, K.K., & Tatsuoka, M.M. (1997), Computerized cognitive diagnostic adaptive testing: Effect on remedial instruction as empirical validation. Journal of Educational Measurement, 34, 3–20.

Session Video

10aCD-CAT10anon-parametric approach1 aChang, Yuan-Pei1 aChiu, Chia-Yi1 aTsai, Rung-Ching uhttp://mail.iacat.org/computerized-adaptive-testing-cognitive-diagnosis-classroom-nonparametric-approach-002607nas a2200133 4500008004100000245004800041210004700089260005500136520214600191653002002337653002402357100002102381856007102402 2017 eng d00aDeveloping a CAT: An Integrated Perspective0 aDeveloping a CAT An Integrated Perspective aNiigata, JapanbNiigata Seiryo Universityc08/20173 a

Most resources on computerized adaptive testing (CAT) tend to focus on psychometric aspects such as mathematical formulae for item selection or ability estimation. However, development of a CAT assessment requires a holistic view of project management, financials, content development, product launch and branding, and more. This presentation will develop such a holistic view, which serves several purposes, including providing a framework for validity, estimating costs and ROI, and making better decisions regarding the psychometric aspects.

Thompson and Weiss (2011) presented a 5-step model for developing computerized adaptive tests (CATs). This model will be presented and discussed as the core of this holistic framework, then applied to real-life examples. While most CAT research focuses on developing new quantitative algorithms, this presentation is instead intended to help researchers evaluate and select algorithms that are most appropriate for their needs. It is therefore ideal for practitioners that are familiar with the basics of item response theory and CAT, and wish to explore how they might apply these methodologies to improve their assessments.

Steps include:

1. Feasibility, applicability, and planning studies

2. Develop item bank content or utilize existing bank

3. Pretest and calibrate item bank

4. Determine specifications for final CAT

5. Publish live CAT.

So, for example, Step 1 will contain simulation studies which estimate item bank requirements, which then can be used to determine costs of content development, which in turn can be integrated into an estimated project cost timeline. Such information is vital in determining if the CAT should even be developed in the first place.

References

Thompson, N. A., & Weiss, D. J. (2011). A Framework for the Development of Computerized Adaptive Tests. Practical Assessment, Research & Evaluation, 16(1). Retrieved from http://pareonline.net/getvn.asp?v=16&n=1.

Session Video

10aCAT Development10aintegrated approach1 aThompson, Nathan uhttps://drive.google.com/open?id=1Jv8bpH2zkw5TqSMi03e5JJJ98QtXf-Cv01568nas a2200181 4500008003900000245011800039210006900157300001100226490000700237520097700244100001801221700001701239700002501256700001801281700002201299700002001321856004501341 2017 d00aDevelopment of a Computer Adaptive Test for Depression Based on the Dutch-Flemish Version of the PROMIS Item Bank0 aDevelopment of a Computer Adaptive Test for Depression Based on  a79-1050 v403 aWe developed a Dutch-Flemish version of the patient-reported outcomes measurement information system (PROMIS) adult V1.0 item bank for depression as input for computerized adaptive testing (CAT). As item bank, we used the Dutch-Flemish translation of the original PROMIS item bank (28 items) and additionally translated 28 U.S. depression items that failed to make the final U.S. item bank. Through psychometric analysis of a combined clinical and general population sample (N = 2,010), 8 added items were removed. With the final item bank, we performed several CAT simulations to assess the efficiency of the extended (48 items) and the original item bank (28 items), using various stopping rules. Both item banks resulted in highly efficient and precise measurement of depression and showed high similarity between the CAT simulation scores and the full item bank scores. We discuss the implications of using each item bank and stopping rule for further CAT development.1 aFlens, Gerard1 aSmits, Niels1 aTerwee, Caroline, B.1 aDekker, Joost1 aHuijbrechts, Irma1 ade Beurs, Edwin uhttps://doi.org/10.1177/016327871668416802133nas a2200169 4500008004100000245006700041210006500108260005500173520156400228653000801792653000801800653002001808653002301828100002101851700002001872856007101892 2017 eng d00aEvaluation of Parameter Recovery, Drift, and DIF with CAT Data0 aEvaluation of Parameter Recovery Drift and DIF with CAT Data aNiigata, JapanbNiigata Seiryo Universityc08/20173 a

Parameter drift and differential item functioning (DIF) analyses are frequent components of a test maintenance plan. That is, after a test form(s) is published, organizations will often calibrate postpublishing data at a later date to evaluate whether the performance of the items or the test has changed over time. For example, if item content is leaked, the items might gradually become easier over time, and item statistics or parameters can reflect this.

When tests are published under a computerized adaptive testing (CAT) paradigm, they are nearly always calibrated with item response theory (IRT). IRT calibrations assume that range restriction is not an issue – that is, each item is administered to a range of examinee ability. CAT data violates this assumption. However, some organizations still wish to evaluate continuing performance of the items from a DIF or drift paradigm.

This presentation will evaluate just how inaccurate DIF and drift analyses might be on CAT data, using a Monte Carlo parameter recovery methodology. Known item parameters will be used to generate both linear and CAT data sets, which are then calibrated for DIF and drift. In addition, we will implement Randomesque item exposure constraints in some CAT conditions, as this randomization directly alleviates the range restriction problem somewhat, but it is an empirical question as to whether this improves the parameter recovery calibrations.

Session Video

10aCAT10aDIF10aParameter Drift10aParameter Recovery1 aThompson, Nathan1 aStoeger, Jordan uhttps://drive.google.com/open?id=1F7HCZWD28Q97sCKFIJB0Yps0H66NPeKq00592nas a2200169 4500008003900000022001400039245011200053210006900165300001600234490000700250100002400257700002200281700002500303700002300328700002500351856004600376 2017 d a1573-264900aItem usage in a multidimensional computerized adaptive test (MCAT) measuring health-related quality of life0 aItem usage in a multidimensional computerized adaptive test MCAT a2909–29180 v261 aPaap, Muirne, C. S.1 aKroeze, Karel, A.1 aTerwee, Caroline, B.1 avan der Palen, Job1 aVeldkamp, Bernard, P uhttps://doi.org/10.1007/s11136-017-1624-302365nas a2200277 4500008004100000245007100041210006900112260005500181520152900236653000801765653001501773653002801788100001501816700002101831700001501852700001401867700001601881700001501897700001601912700001601928700001601944700001801960700001901978700001901997856007102016 2017 eng d00aNew Challenges (With Solutions) and Innovative Applications of CAT0 aNew Challenges With Solutions and Innovative Applications of CAT aNiigata, JapanbNiigata Seiryo Universityc08/20173 a

Over the past several decades, computerized adaptive testing (CAT) has profoundly changed the administration of large-scale aptitude tests, state-wide achievement tests, professional licensure exams, and health outcome measures. While many challenges of CAT have been successfully addressed due to the continual efforts of researchers in the field, there are still many remaining, longstanding challenges that have yet to be resolved. This symposium will begin with three presentations, each of which provides a sound solution to one of the unresolved challenges. They are (1) item calibration when responses are “missing not at random” from CAT administration; (2) online calibration of new items when person traits have non-ignorable measurement error; (3) establishing consistency and asymptotic normality of latent trait estimation when allowing item response revision in CAT. In addition, this symposium also features innovative applications of CAT. In particular, there is emerging interest in using cognitive diagnostic CAT to monitor and detect learning progress (4th presentation). Last but not least, the 5th presentation illustrates the power of multidimensional polytomous CAT that permits rapid identification of hospitalized patients’ rehabilitative care needs in health outcomes measurement. We believe this symposium covers a wide range of interesting and important topics in CAT.

Session Video

10aCAT10achallenges10ainnovative applications1 aWang, Chun1 aWeiss, David, J.1 aZhang, Xue1 aTao, Jian1 aHe, Yinhong1 aChen, Ping1 aWang, Shiyu1 aZhang, Susu1 aLin, Haiyan1 aGao, Xiaohong1 aChang, Hua-Hua1 aShang, Zhuoran uhttps://drive.google.com/open?id=1Wvgxw7in_QCq_F7kzID6zCZuVXWcFDPa01840nas a2200145 4500008004100000245010900041210006900150260005500219520128100274100001501555700001401570700001901584700002001603856007101623 2017 eng d00aA Simulation Study to Compare Classification Method in Cognitive Diagnosis Computerized Adaptive Testing0 aSimulation Study to Compare Classification Method in Cognitive D aNiigata, JapanbNiigata Seiryo Universityc08/20173 a

Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) combines the strengths of both CAT and cognitive diagnosis. Cognitive diagnosis models that can be viewed as restricted latent class models have been developed to classify the examinees into the correct profile of skills that have been mastered and those that have not so as to get more efficient remediation. Chiu & Douglas (2013) introduces a nonparametric procedure that only requires specification of Q-matrix to classify by proximity to ideal response pattern. In this article, we compare nonparametric procedure with common profile estimation method like maximum a posterior (MAP) in CD-CAT. Simulation studies consider a variety of Q-matrix structure, the number of attributes, ways to generate attribute profiles, and item quality. Results indicate that nonparametric procedure consistently gets the higher pattern and attribute recovery rate in nearly all conditions.

References

Chiu, C.-Y., & Douglas, J. (2013). A nonparametric approach to cognitive diagnosis by proximity to ideal response patterns. Journal of Classification, 30, 225-250. doi: 10.1007/s00357-013-9132-9

Session Video

1 aYang, Jing1 aTao, Jian1 aChang, Hua-Hua1 aShi, Ning-Zhong uhttps://drive.google.com/open?id=1jCL3fPZLgzIdwvEk20D-FliZ15OTUtpr01269nas a2200301 4500008003900000022001400039245021000053210006900263260000800332300001600340490000700356520033300363100001600696700001300712700001400725700001900739700001600758700001500774700001500789700001500804700002000819700001400839700001400853700001800867700001200885700002400897856004600921 2017 d a1573-264900aThe validation of a computer-adaptive test (CAT) for assessing health-related quality of life in children and adolescents in a clinical sample: study design, methods and first results of the Kids-CAT study0 avalidation of a computeradaptive test CAT for assessing healthre cMay a1105–11170 v263 aRecently, we developed a computer-adaptive test (CAT) for assessing health-related quality of life (HRQoL) in children and adolescents: the Kids-CAT. It measures five generic HRQoL dimensions. The aims of this article were (1) to present the study design and (2) to investigate its psychometric properties in a clinical setting.1 aBarthel, D.1 aOtto, C.1 aNolte, S.1 aMeyrose, A.-K.1 aFischer, F.1 aDevine, J.1 aWalter, O.1 aMierke, A.1 aFischer, K., I.1 aThyen, U.1 aKlein, M.1 aAnkermann, T.1 aRose, M1 aRavens-Sieberer, U. uhttps://doi.org/10.1007/s11136-016-1437-901379nas a2200157 4500008003900000245012700039210006900166300001200235490000700247520082800254100001701082700002701099700001801126700002401144856005301168 2015 d00aStochastic Curtailment in Adaptive Mastery Testing: Improving the Efficiency of Confidence Interval–Based Stopping Rules0 aStochastic Curtailment in Adaptive Mastery Testing Improving the a278-2920 v393 aA well-known stopping rule in adaptive mastery testing is to terminate the assessment once the examinee’s ability confidence interval lies entirely above or below the cut-off score. This article proposes new procedures that seek to improve such a variable-length stopping rule by coupling it with curtailment and stochastic curtailment. Under the new procedures, test termination can occur earlier if the probability is high enough that the current classification decision remains the same should the test continue. Computation of this probability utilizes normality of an asymptotically equivalent version of the maximum likelihood ability estimate. In two simulation sets, the new procedures showed a substantial reduction in average test length while maintaining similar classification accuracy to the original method.1 aSie, Haskell1 aFinkelman, Matthew, D.1 aBartroff, Jay1 aThompson, Nathan, A uhttp://apm.sagepub.com/content/39/4/278.abstract00637nas a2200181 4500008003900000022001400039245011500053210006900168300001100237490000700248653001800255653002900273653003000302653004200332100002200374700001800396856004100414 2013 d a1745-399200aThe Philosophical Aspects of IRT Equating: Modeling Drift to Evaluate Cohort Growth in Large-Scale Assessments0 aPhilosophical Aspects of IRT Equating Modeling Drift to Evaluate a2–140 v3210acohort growth10aconstruct-relevant drift10aevaluation of scale drift10aphilosophical aspects of IRT equating1 aTaherbhai, Husein1 aSeo, Daeryong uhttp://dx.doi.org/10.1111/emip.1200000464nas a2200133 4500008003900000245007200039210006900111300001200180490000700192100002400199700002000223700001900243856006800262 2012 d00aMultistage Computerized Adaptive Testing With Uniform Item Exposure0 aMultistage Computerized Adaptive Testing With Uniform Item Expos a118-1410 v251 aEdwards, Michael, C1 aFlora, David, B1 aThissen, David uhttp://www.tandfonline.com/doi/abs/10.1080/08957347.2012.66036301696nas a2200217 4500008004100000020004600041245012100087210006900208250001500277300001100292490000700303520094700310100001701257700001301274700001601287700001001303700001201313700001601325700001801341856011901359 2011 eng d a1541-3144 (Electronic)0194-2638 (Linking)00aContent range and precision of a computer adaptive test of upper extremity function for children with cerebral palsy0 aContent range and precision of a computer adaptive test of upper a2010/10/15 a90-1020 v313 aThis article reports on the content range and measurement precision of an upper extremity (UE) computer adaptive testing (CAT) platform of physical function in children with cerebral palsy. Upper extremity items representing skills of all abilities were administered to 305 parents. These responses were compared with two traditional standardized measures: Pediatric Outcomes Data Collection Instrument and Functional Independence Measure for Children. The UE CAT correlated strongly with the upper extremity component of these measures and had greater precision when describing individual functional ability. The UE item bank has wider range with items populating the lower end of the ability spectrum. This new UE item bank and CAT have the capability to quickly assess children of all ages and abilities with good precision and, most importantly, with items that are meaningful and appropriate for their age and level of physical function.1 aMontpetit, K1 aHaley, S1 aBilodeau, N1 aNi, P1 aTian, F1 aGorton, 3rd1 aMulcahey, M J uhttp://mail.iacat.org/content/content-range-and-precision-computer-adaptive-test-upper-extremity-function-children01889nas a2200169 4500008004500000245015100045210006900196490000700265520128400272100001601556700001701572700001401589700001501603700001501618700001401633856007201647 2011 Engldsh 00aDesign of a Computer-Adaptive Test to Measure English Literacy and Numeracy in the Singapore Workforce: Considerations, Benefits, and Implications0 aDesign of a ComputerAdaptive Test to Measure English Literacy an0 v123 a

A computer adaptive test CAT) is a delivery methodology that serves the larger goals of the assessment system in which it is embedded. A thorough analysis of the assessment system for which a CAT is being designed is critical to ensure that the delivery platform is appropriate and addresses all relevant complexities. As such, a CAT engine must be designed to conform to the
validity and reliability of the overall system. This design takes the form of adherence to the assessment goals and objectives of the adaptive assessment system. When the assessment is adapted for use in another country, consideration must be given to any necessary revisions including content differences. This article addresses these considerations while drawing, in part, on the process followed in the development of the CAT delivery system designed to test English language workplace skills for the Singapore Workforce Development Agency. Topics include item creation and selection, calibration of the item pool, analysis and testing of the psychometric properties, and reporting and interpretation of scores. The characteristics and benefits of the CAT delivery system are detailed as well as implications for testing programs considering the use of a
CAT delivery system.

1 aJacobsen, J1 aAckermann, R1 aEgüez, J1 aGanguli, D1 aRickard, P1 aTaylor, L uhttp://www.testpublishers.org/journal-of-applied-testing-technology00938nas a2200133 4500008004100000245006700041210006500108260004700173490000700220520046100227100001800688700001400706856008400720 2011 eng d00aA framework for the development of computerized adaptive tests0 aframework for the development of computerized adaptive tests bPractical Assessment Research & Evaluation0 v163 aA substantial amount of research has been conducted over the past 40 years on technical aspects of computerized adaptive testing (CAT), such as item selection algorithms, item exposure controls, and termination criteria. However, there is little literature providing practical guidance on the development of a CAT. This paper seeks to collate some of the available research methodologies into a general framework for the development of any CAT assessment. 1 aThompson, N A1 aWeiss, DJ uhttp://mail.iacat.org/content/framework-development-computerized-adaptive-tests00387nas a2200109 4500008003900000245006500039210006400104260001200168490000700180100001800187856007200205 2011 d00aJATT Special Issue on Adaptive Testing: Welcome and Overview0 aJATT Special Issue on Adaptive Testing Welcome and Overview c05/20110 v121 aThompson, N A uhttp://www.testpublishers.org/journal-of-applied-testing-technology01352nas a2200133 4500008003900000245008000039210006900119300001200188490000700200520091200207100001901119700002301138856005701161 2011 d00aUsing Item Response Theory and Adaptive Testing in Online Career Assessment0 aUsing Item Response Theory and Adaptive Testing in Online Career a274-2860 v193 a

The present article describes the potential utility of item response theory (IRT) and adaptive testing for scale evaluation and for web-based career assessment. The article describes the principles of both IRT and adaptive testing and then illustrates these with reference to data analyses and simulation studies of the Career Confidence Inventory (CCI). The kinds of information provided by IRT are shown to give a more precise look at scale quality across the trait continuum and also to permit the use of adaptive testing, where the items administered are tailored to the individual being tested. Such tailoring can significantly reduce testing time while maintaining high quality of measurement. This efficiency is especially useful when multiscale inventories and/or a large number of scales are to be administered. Readers are encouraged to consider using these advances in career assessment.

1 aBetz, Nancy, E1 aTurner, Brandon, M uhttp://jca.sagepub.com/cgi/content/abstract/19/3/27402279nas a2200109 4500008004100000245008100041210006900122260009700191520175400288100001902042856010802061 2009 eng d00aComputerized adaptive testing by mutual information and multiple imputations0 aComputerized adaptive testing by mutual information and multiple aD. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.3 aOver the years, most computerized adaptive testing (CAT) systems have used score estimation procedures from item response theory (IRT). IRT models have salutary properties for score estimation, error reporting, and next-item selection. However, some testing purposes favor scoring approaches outside IRT. Where a criterion metric is readily available and more relevant than the assessed construct, for example in the selection of job applicants, a predictive model might be appropriate (Scarborough & Somers, 2006). In these cases, neither IRT scoring nor a unidimensional assessment structure can be assumed. Yet, the primary benefit of CAT remains desirable: shorter assessments with minimal loss of accuracy due to unasked items. In such a case, it remains possible to create a CAT system that produces an estimated score from a subset of available items, recognizes differential item information given the emerging item response pattern, and optimizes the accuracy of the score estimated at every successive item. The method of multiple imputations (Rubin, 1987) can be used to simulate plausible scores given plausible response patterns to unasked items (Thissen-Roe, 2005). Mutual information can then be calculated in order to select an optimally informative next item (or set of items). Previously observed response patterns to two complete neural network-scored assessments were resampled according to MIMI CAT item selection. The reproduced CAT scores were compared to full-length assessment scores. Approximately 95% accurate assignment of examinees to one of three score categories was achieved with a 70%-80% reduction in median test length. Several algorithmic factors influencing accuracy and computational performance were examined.1 aThissen-Roe, A uhttp://mail.iacat.org/content/computerized-adaptive-testing-mutual-information-and-multiple-imputations00573nas a2200109 4500008004100000245010200041210006900143260009700212100002200309700001100331856012100342 2009 eng d00aGuess what? Score differences with rapid replies versus omissions on a computerized adaptive test0 aGuess what Score differences with rapid replies versus omissions aD. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.1 aTalento-Miller, E1 aGuo, F uhttp://mail.iacat.org/content/guess-what-score-differences-rapid-replies-versus-omissions-computerized-adaptive-test01377nas a2200121 4500008003900000245005800039210005800097300001200155490000700167520100400174100002401178856005301202 2009 d00aItem Selection in Computerized Classification Testing0 aItem Selection in Computerized Classification Testing a778-7930 v693 a

Several alternatives for item selection algorithms based on item response theory in computerized classification testing (CCT) have been suggested, with no conclusive evidence on the substantial superiority of a single method. It is argued that the lack of sizable effect is because some of the methods actually assess items very similarly through different calculations and will usually select the same item. Consideration of methods that assess information across a wider range is often unnecessary under realistic conditions, although it might be advantageous to utilize them only early in a test. In addition, the efficiency of item selection approaches depend on the termination criteria that are used, which is demonstrated through didactic example and Monte Carlo simulation. Item selection at the cut score, which seems conceptually appropriate for CCT, is not always the most efficient option. A broad framework for item selection in CCT is presented that incorporates these points.

1 aThompson, Nathan, A uhttp://epm.sagepub.com/content/69/5/778.abstract01423nas a2200133 4500008004100000020001400041245005800055210005800113300001200171490000700183520099600190100001801186856008501204 2009 eng d a0013-164400aItem selection in computerized classification testing0 aItem selection in computerized classification testing a778-7930 v693 aSeveral alternatives for item selection algorithms based on item response theory in computerized classification testing (CCT) have been suggested, with no conclusive evidence on the substantial superiority of a single method. It is argued that the lack of sizable effect is because some of the methods actually assess items very similarly through different calculations and will usually select the same item. Consideration of methods that assess information across a wider range is often unnecessary under realistic conditions, although it might be advantageous to utilize them only early in a test. In addition, the efficiency of item selection approaches depend on the termination criteria that are used, which is demonstrated through didactic example and Monte Carlo simulation. Item selection at the cut score, which seems conceptually appropriate for CCT, is not always the most efficient option. A broad framework for item selection in CCT is presented that incorporates these points. 1 aThompson, N A uhttp://mail.iacat.org/content/item-selection-computerized-classification-testing03148nas a2200457 4500008004100000020004100041245015500082210006900237250001500306260000800321300001200329490000700341520174100348653002502089653001902114653002502133653003002158653001502188653003602203653001002239653002102249653003302270653001102303653001102314653000902325653001802334653001702352653001902369653001602388100001502404700001002419700001502429700002502444700001802469700001702487700001602504700001602520700001402536700001602550856012402566 2009 eng d a0962-9343 (Print)0962-9343 (Linking)00aMeasuring global physical health in children with cerebral palsy: Illustration of a multidimensional bi-factor model and computerized adaptive testing0 aMeasuring global physical health in children with cerebral palsy a2009/02/18 cApr a359-3700 v183 aPURPOSE: The purposes of this study were to apply a bi-factor model for the determination of test dimensionality and a multidimensional CAT using computer simulations of real data for the assessment of a new global physical health measure for children with cerebral palsy (CP). METHODS: Parent respondents of 306 children with cerebral palsy were recruited from four pediatric rehabilitation hospitals and outpatient clinics. We compared confirmatory factor analysis results across four models: (1) one-factor unidimensional; (2) two-factor multidimensional (MIRT); (3) bi-factor MIRT with fixed slopes; and (4) bi-factor MIRT with varied slopes. We tested whether the general and content (fatigue and pain) person score estimates could discriminate across severity and types of CP, and whether score estimates from a simulated CAT were similar to estimates based on the total item bank, and whether they correlated as expected with external measures. RESULTS: Confirmatory factor analysis suggested separate pain and fatigue sub-factors; all 37 items were retained in the analyses. From the bi-factor MIRT model with fixed slopes, the full item bank scores discriminated across levels of severity and types of CP, and compared favorably to external instruments. CAT scores based on 10- and 15-item versions accurately captured the global physical health scores. CONCLUSIONS: The bi-factor MIRT CAT application, especially the 10- and 15-item versions, yielded accurate global physical health scores that discriminated across known severity groups and types of CP, and correlated as expected with concurrent measures. The CATs have potential for collecting complex data on the physical health of children with CP in an efficient manner.10a*Computer Simulation10a*Health Status10a*Models, Statistical10aAdaptation, Psychological10aAdolescent10aCerebral Palsy/*physiopathology10aChild10aChild, Preschool10aFactor Analysis, Statistical10aFemale10aHumans10aMale10aMassachusetts10aPennsylvania10aQuestionnaires10aYoung Adult1 aHaley, S M1 aNi, P1 aDumas, H M1 aFragala-Pinkham, M A1 aHambleton, RK1 aMontpetit, K1 aBilodeau, N1 aGorton, G E1 aWatson, K1 aTucker, C A uhttp://mail.iacat.org/content/measuring-global-physical-health-children-cerebral-palsy-illustration-multidimensional-bi01067nas a2200109 4500008004100000245010200041210006900143260009700212520051300309100001800822856011700840 2009 eng d00aThe MEDPRO project: An SBIR project for a comprehensive IRT and CAT software system: CAT software0 aMEDPRO project An SBIR project for a comprehensive IRT and CAT s aD. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.3 aDevelopment of computerized adaptive tests (CAT) requires a number of appropriate software tools. This paper describes the development of two new CAT software programs. CATSIM has been designed specifically to conduct several different kinds of simulation studies, which are necessary for planning purposes as well as properly designing live CATs. FastCAT is a software system for banking items and publishing CAT tests as standalone files, to be administered anywhere. Both are available for public use.1 aThompson, N A uhttp://mail.iacat.org/content/medpro-project-sbir-project-comprehensive-irt-and-cat-software-system-cat-software01208nas a2200109 4500008004100000245010200041210006900143260009700212520065700309100001500966856011700981 2009 eng d00aThe MEDPRO project: An SBIR project for a comprehensive IRT and CAT software system: IRT software0 aMEDPRO project An SBIR project for a comprehensive IRT and CAT s aD. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.3 aIRTPRO (Item Response Theory for Patient-Reported Outcomes) is an entirely new application for item calibration and test scoring using IRT. IRTPRO implements algorithms for maximum likelihood estimation of item parameters (item calibration) for several unidimensional and multidimensional item response theory (IRT) models for dichotomous and polytomous item responses. In addition, the software provides computation of goodness-of-fit indices, statistics for the diagnosis of local dependence and for the detection of differential item functioning (DIF), and IRT scaled scores. This paper illustrates the use, and some capabilities, of the software.1 aThissen, D uhttp://mail.iacat.org/content/medpro-project-sbir-project-comprehensive-irt-and-cat-software-system-irt-software02436nas a2200385 4500008004100000020004100041245009300082210006900175250001500244260000800259300001100267490000700278520128100285653003201566653002701598653002001625653002901645653001001674653000901684653001901693653003401712653001101746653001101757653000901768653001601777653004601793100001501839700001001854700001501864700001101879700001201890700001401902700001601916856011801932 2009 eng d a0962-9343 (Print)0962-9343 (Linking)00aReplenishing a computerized adaptive test of patient-reported daily activity functioning0 aReplenishing a computerized adaptive test of patientreported dai a2009/03/17 cMay a461-710 v183 aPURPOSE: Computerized adaptive testing (CAT) item banks may need to be updated, but before new items can be added, they must be linked to the previous CAT. The purpose of this study was to evaluate 41 pretest items prior to including them into an operational CAT. METHODS: We recruited 6,882 patients with spine, lower extremity, upper extremity, and nonorthopedic impairments who received outpatient rehabilitation in one of 147 clinics across 13 states of the USA. Forty-one new Daily Activity (DA) items were administered along with the Activity Measure for Post-Acute Care Daily Activity CAT (DA-CAT-1) in five separate waves. We compared the scoring consistency with the full item bank, test information function (TIF), person standard errors (SEs), and content range of the DA-CAT-1 to the new CAT (DA-CAT-2) with the pretest items by real data simulations. RESULTS: We retained 29 of the 41 pretest items. Scores from the DA-CAT-2 were more consistent (ICC = 0.90 versus 0.96) than DA-CAT-1 when compared with the full item bank. TIF and person SEs were improved for persons with higher levels of DA functioning, and ceiling effects were reduced from 16.1% to 6.1%. CONCLUSIONS: Item response theory and online calibration methods were valuable in improving the DA-CAT.10a*Activities of Daily Living10a*Disability Evaluation10a*Questionnaires10a*User-Computer Interface10aAdult10aAged10aCohort Studies10aComputer-Assisted Instruction10aFemale10aHumans10aMale10aMiddle Aged10aOutcome Assessment (Health Care)/*methods1 aHaley, S M1 aNi, P1 aJette, A M1 aTao, W1 aMoed, R1 aMeyers, D1 aLudlow, L H uhttp://mail.iacat.org/content/replenishing-computerized-adaptive-test-patient-reported-daily-activity-functioning02022nas a2200109 4500008004100000245007400041210006900115260009700184520151800281100001801799856009501817 2009 eng d00aUtilizing the generalized likelihood ratio as a termination criterion0 aUtilizing the generalized likelihood ratio as a termination crit aD. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.3 aComputer-based testing can be used to classify examinees into mutually exclusive groups. Currently, the predominant psychometric algorithm for designing computerized classification tests (CCTs) is the sequential probability ratio test (SPRT; Reckase, 1983) based on item response theory (IRT). The SPRT has been shown to be more efficient than confidence intervals around θ estimates as a method for CCT delivery (Spray & Reckase, 1996; Rudner, 2002). More recently, it was demonstrated that the SPRT, which only uses fixed values, is less efficient than a generalized form which tests whether a given examinee’s θ is below θ1or above θ2 (Thompson, 2007). This formulation allows the indifference region to vary based on observed data. Moreover, this composite hypothesis formulation better represents the conceptual purpose of the test, which is to test whether θ is above or below the cutscore. The purpose of this study was to explore the specifications of the new generalized likelihood ratio (GLR; Huang, 2004). As with the SPRT, the efficiency of the procedure depends on the nominal error rates and the distance between θ1 and θ2 (Eggen, 1999). This study utilized a monte-carlo approach, with 10,000 examinees simulated under each condition, to evaluate differences in efficiency and accuracy due to hypothesis structure, nominal error rate, and indifference region size. The GLR was always at least as efficient as the fixed-point SPRT while maintaining equivalent levels of accuracy. 1 aThompson, N A uhttp://mail.iacat.org/content/utilizing-generalized-likelihood-ratio-termination-criterion00451nas a2200133 4500008003900000245006000039210005800099300001000157490000600167100002100173700001800194700001900212856008600231 2008 d00aCAT-MD: Computerized adaptive testing on mobile devices0 aCATMD Computerized adaptive testing on mobile devices a13-200 v31 aTriantafillou, E1 aGeorgiadou, E1 aEconomides, AA uhttp://mail.iacat.org/content/cat-md-computerized-adaptive-testing-mobile-devices03042nas a2200481 4500008004100000020004600041245012200087210006900209250001500278260000800293300001200301490000700313520155700320653003201877653003101909653002201940653002001962653001001982653000901992653002202001653002802023653003302051653001102084653001102095653002502106653000902131653001602140653004602156653002202202653002402224653003002248653002902278100001502307700001402322700001502336700002402351700001802375700001102393700001602404700001002420700001502430856011502445 2008 eng d a1532-821X (Electronic)0003-9993 (Linking)00aComputerized adaptive testing for follow-up after discharge from inpatient rehabilitation: II. Participation outcomes0 aComputerized adaptive testing for followup after discharge from  a2008/01/30 cFeb a275-2830 v893 aOBJECTIVES: To measure participation outcomes with a computerized adaptive test (CAT) and compare CAT and traditional fixed-length surveys in terms of score agreement, respondent burden, discriminant validity, and responsiveness. DESIGN: Longitudinal, prospective cohort study of patients interviewed approximately 2 weeks after discharge from inpatient rehabilitation and 3 months later. SETTING: Follow-up interviews conducted in patient's home setting. PARTICIPANTS: Adults (N=94) with diagnoses of neurologic, orthopedic, or medically complex conditions. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Participation domains of mobility, domestic life, and community, social, & civic life, measured using a CAT version of the Participation Measure for Postacute Care (PM-PAC-CAT) and a 53-item fixed-length survey (PM-PAC-53). RESULTS: The PM-PAC-CAT showed substantial agreement with PM-PAC-53 scores (intraclass correlation coefficient, model 3,1, .71-.81). On average, the PM-PAC-CAT was completed in 42% of the time and with only 48% of the items as compared with the PM-PAC-53. Both formats discriminated across functional severity groups. The PM-PAC-CAT had modest reductions in sensitivity and responsiveness to patient-reported change over a 3-month interval as compared with the PM-PAC-53. CONCLUSIONS: Although continued evaluation is warranted, accurate estimates of participation status and responsiveness to change for group-level analyses can be obtained from CAT administrations, with a sizeable reduction in respondent burden.10a*Activities of Daily Living10a*Adaptation, Physiological10a*Computer Systems10a*Questionnaires10aAdult10aAged10aAged, 80 and over10aChi-Square Distribution10aFactor Analysis, Statistical10aFemale10aHumans10aLongitudinal Studies10aMale10aMiddle Aged10aOutcome Assessment (Health Care)/*methods10aPatient Discharge10aProspective Studies10aRehabilitation/*standards10aSubacute Care/*standards1 aHaley, S M1 aGandek, B1 aSiebens, H1 aBlack-Schaffer, R M1 aSinclair, S J1 aTao, W1 aCoster, W J1 aNi, P1 aJette, A M uhttp://mail.iacat.org/content/computerized-adaptive-testing-follow-after-discharge-inpatient-rehabilitation-ii00683nas a2200157 4500008004100000245017700041210006900218260003100287100001600318700001200334700001300346700001500359700001400374700001300388856012400401 2008 eng d00aDeveloping a progressive approach to using the GAIN in order to reduce the duration and cost of assessment with the GAIN short screener, Quick and computer adaptive testing0 aDeveloping a progressive approach to using the GAIN in order to  aWashington D.C., USAc20081 aDennis, M L1 aFunk, R1 aTitus, J1 aRiley, B B1 aHosman, S1 aKinne, S uhttp://mail.iacat.org/content/developing-progressive-approach-using-gain-order-reduce-duration-and-cost-assessment-gain01729nas a2200181 4500008004100000245011200041210006900153300001100222490000700233520107200240653003401312653001701346653001901363100001601382700001801398700001501416856011601431 2008 eng d00aThe D-optimality item selection criterion in the early stage of CAT: A study with the graded response model0 aDoptimality item selection criterion in the early stage of CAT A a88-1100 v333 aDuring the early stage of computerized adaptive testing (CAT), item selection criteria based on Fisher’s information often produce less stable latent trait estimates than the Kullback-Leibler global information criterion. Robustness against early stage instability has been reported for the D-optimality criterion in a polytomous CAT with the Nominal Response Model and is shown herein to be reproducible for the Graded Response Model. For comparative purposes, the A-optimality and the global information criteria are also applied. Their item selection is investigated as a function of test progression and item bank composition. The results indicate how the selection of specific item parameters underlies the criteria performances evaluated via accuracy and precision of estimation. In addition, the criteria item exposure rates are compared, without the use of any exposure controlling measure. On the account of stability, precision, accuracy, numerical simplicity, and less evidently, item exposure rate, the D-optimality criterion can be recommended for CAT.10acomputerized adaptive testing10aD optimality10aitem selection1 aPassos, V L1 aBerger, M P F1 aTan, F E S uhttp://mail.iacat.org/content/d-optimality-item-selection-criterion-early-stage-cat-study-graded-response-model03057nas a2200205 4500008004100000020002700041245012200068210006900190250001500259260001100274300000800285490000600293520234600299100001502645700001402660700001402674700002102688700001502709856012702724 2008 Eng d a1471-2474 (Electronic)00aAn initial application of computerized adaptive testing (CAT) for measuring disability in patients with low back pain0 ainitial application of computerized adaptive testing CAT for mea a2008/12/20 cDec 18 a1660 v93 aABSTRACT: BACKGROUND: Recent approaches to outcome measurement involving Computerized Adaptive Testing (CAT) offer an approach for measuring disability in low back pain (LBP) in a way that can reduce the burden upon patient and professional. The aim of this study was to explore the potential of CAT in LBP for measuring disability as defined in the International Classification of Functioning, Disability and Health (ICF) which includes impairments, activity limitation, and participation restriction. METHODS: 266 patients with low back pain answered questions from a range of widely used questionnaires. An exploratory factor analysis (EFA) was used to identify disability dimensions which were then subjected to Rasch analysis. Reliability was tested by internal consistency and person separation index (PSI). Discriminant validity of disability levels were evaluated by Spearman correlation coefficient (r), intraclass correlation coefficient [ICC(2,1)] and the Bland-Altman approach. A CAT was developed for each dimension, and the results checked against simulated and real applications from a further 133 patients. RESULTS: Factor analytic techniques identified two dimensions named "body functions" and "activity-participation". After deletion of some items for failure to fit the Rasch model, the remaining items were mostly free of Differential Item Functioning (DIF) for age and gender. Reliability exceeded 0.90 for both dimensions. The disability levels generated using all items and those obtained from the real CAT application were highly correlated (i.e. >0.97 for both dimensions). On average, 19 and 14 items were needed to estimate the precise disability levels using the initial CAT for the first and second dimension. However, a marginal increase in the standard error of the estimate across successive iterations substantially reduced the number of items required to make an estimate. CONCLUSIONS: Using a combination approach of EFA and Rasch analysis this study has shown that it is possible to calibrate items onto a single metric in a way that can be used to provide the basis of a CAT application. Thus there is an opportunity to obtain a wide variety of information to evaluate the biopsychosocial model in its more complex forms, without necessarily increasing the burden of information collection for patients.1 aElhan, A H1 aOztuna, D1 aKutlay, S1 aKucukdeveci, A A1 aTennant, A uhttp://mail.iacat.org/content/initial-application-computerized-adaptive-testing-cat-measuring-disability-patients-low-back00517nam a2200097 4500008004100000245010500041210006900146260006300215100001800278856012300296 2007 eng d00aA comparison of two methods of polytomous computerized classification testing for multiple cutscores0 acomparison of two methods of polytomous computerized classificat aUnpublished doctoral dissertation, University of Minnesota1 aThompson, N A uhttp://mail.iacat.org/content/comparison-two-methods-polytomous-computerized-classification-testing-multiple-cutscores00505nas a2200121 4500008004100000245006600041210006600107260005700173653003400230100001800264700001000282856009100292 2007 eng d00aComputerized classification testing with composite hypotheses0 aComputerized classification testing with composite hypotheses aSt. Paul, MNbGraduate Management Admissions Council10acomputerized adaptive testing1 aThompson, N A1 aRo, S uhttp://mail.iacat.org/content/computerized-classification-testing-composite-hypotheses00501nas a2200109 4500008004100000245006600041210006600107260009700173100001800270700001000288856009300298 2007 eng d00aComputerized classification testing with composite hypotheses0 aComputerized classification testing with composite hypotheses aD. J. Weiss (Ed.). Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.1 aThompson, N A1 aRo, S uhttp://mail.iacat.org/content/computerized-classification-testing-composite-hypotheses-000470nas a2200109 4500008004100000245008900041210006900130260001700199100001000216700001800226856011600244 2007 eng d00aCutscore location and classification accuracy in computerized classification testing0 aCutscore location and classification accuracy in computerized cl aTokyo, Japan1 aRo, S1 aThompson, N A uhttp://mail.iacat.org/content/cutscore-location-and-classification-accuracy-computerized-classification-testing00474nas a2200121 4500008003900000245008000039210006900119490000800188100002100196700001800217700001900235856009800254 2007 d00aThe design and evaluation of a computerized adaptive test on mobile devices0 adesign and evaluation of a computerized adaptive test on mobile 0 v49.1 aTriantafillou, E1 aGeorgiadou, E1 aEconomides, AA uhttp://mail.iacat.org/content/design-and-evaluation-computerized-adaptive-test-mobile-devices02419nas a2200325 4500008004100000020002200041245008700063210006900150250001500219300001100234490000700245520140100252653001901653653003001672653001901702653003801721653002101759653002001780653001401800653001501814653003301829653001101862653002401873653001801897100001701915700001501932700001501947700001501962856011601977 2007 eng d a0962-9343 (Print)00aDeveloping tailored instruments: item banking and computerized adaptive assessment0 aDeveloping tailored instruments item banking and computerized ad a2007/05/29 a95-1080 v163 aItem banks and Computerized Adaptive Testing (CAT) have the potential to greatly improve the assessment of health outcomes. This review describes the unique features of item banks and CAT and discusses how to develop item banks. In CAT, a computer selects the items from an item bank that are most relevant for and informative about the particular respondent; thus optimizing test relevance and precision. Item response theory (IRT) provides the foundation for selecting the items that are most informative for the particular respondent and for scoring responses on a common metric. The development of an item bank is a multi-stage process that requires a clear definition of the construct to be measured, good items, a careful psychometric analysis of the items, and a clear specification of the final CAT. The psychometric analysis needs to evaluate the assumptions of the IRT model such as unidimensionality and local independence; that the items function the same way in different subgroups of the population; and that there is an adequate fit between the data and the chosen item response models. Also, interpretation guidelines need to be established to help the clinical application of the assessment. Although medical research can draw upon expertise from educational testing in the development of item banks and CAT, the medical field also encounters unique opportunities and challenges.10a*Health Status10a*Health Status Indicators10a*Mental Health10a*Outcome Assessment (Health Care)10a*Quality of Life10a*Questionnaires10a*Software10aAlgorithms10aFactor Analysis, Statistical10aHumans10aModels, Statistical10aPsychometrics1 aBjorner, J B1 aChang, C-H1 aThissen, D1 aReeve, B B uhttp://mail.iacat.org/content/developing-tailored-instruments-item-banking-and-computerized-adaptive-assessment00585nas a2200109 4500008004100000245011200041210006900153260009700222100001700319700001500336856012400351 2007 eng d00aExploring potential designs for multi-form structure computerized adaptive tests with uniform item exposure0 aExploring potential designs for multiform structure computerized aD. J. Weiss (Ed.), Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.1 aEdwards, M C1 aThissen, D uhttp://mail.iacat.org/content/exploring-potential-designs-multi-form-structure-computerized-adaptive-tests-uniform-item00515nas a2200109 4500008004100000245007300041210006900114260010000183100001600283700001300299856009300312 2007 eng d00aInvestigating CAT designs to achieve comparability with a paper test0 aInvestigating CAT designs to achieve comparability with a paper  aIn D. J. Weiss (Ed.). Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.1 aThompson, T1 aWay, W D uhttp://mail.iacat.org/content/investigating-cat-designs-achieve-comparability-paper-test03105nas a2200445 4500008004100000020002200041245007100063210006900134250001500203300001200218490000700230520183100237653003802068653001902106653002102125653002002146653001402166653001102180653003002191653001102221653000902232653002502241653004602266653001802312653002602330100001302356700001402369700001702383700001302400700001502413700001502428700001702443700001402460700001802474700002302492700001602515700001602531700001502547856009702562 2007 eng d a0962-9343 (Print)00aIRT health outcomes data analysis project: an overview and summary0 aIRT health outcomes data analysis project an overview and summar a2007/03/14 a121-1320 v163 aBACKGROUND: In June 2004, the National Cancer Institute and the Drug Information Association co-sponsored the conference, "Improving the Measurement of Health Outcomes through the Applications of Item Response Theory (IRT) Modeling: Exploration of Item Banks and Computer-Adaptive Assessment." A component of the conference was presentation of a psychometric and content analysis of a secondary dataset. OBJECTIVES: A thorough psychometric and content analysis was conducted of two primary domains within a cancer health-related quality of life (HRQOL) dataset. RESEARCH DESIGN: HRQOL scales were evaluated using factor analysis for categorical data, IRT modeling, and differential item functioning analyses. In addition, computerized adaptive administration of HRQOL item banks was simulated, and various IRT models were applied and compared. SUBJECTS: The original data were collected as part of the NCI-funded Quality of Life Evaluation in Oncology (Q-Score) Project. A total of 1,714 patients with cancer or HIV/AIDS were recruited from 5 clinical sites. MEASURES: Items from 4 HRQOL instruments were evaluated: Cancer Rehabilitation Evaluation System-Short Form, European Organization for Research and Treatment of Cancer Quality of Life Questionnaire, Functional Assessment of Cancer Therapy and Medical Outcomes Study Short-Form Health Survey. RESULTS AND CONCLUSIONS: Four lessons learned from the project are discussed: the importance of good developmental item banks, the ambiguity of model fit results, the limits of our knowledge regarding the practical implications of model misfit, and the importance in the measurement of HRQOL of construct definition. With respect to these lessons, areas for future research are suggested. The feasibility of developing item banks for broad definitions of health is discussed.10a*Data Interpretation, Statistical10a*Health Status10a*Quality of Life10a*Questionnaires10a*Software10aFemale10aHIV Infections/psychology10aHumans10aMale10aNeoplasms/psychology10aOutcome Assessment (Health Care)/*methods10aPsychometrics10aStress, Psychological1 aCook, KF1 aTeal, C R1 aBjorner, J B1 aCella, D1 aChang, C-H1 aCrane, P K1 aGibbons, L E1 aHays, R D1 aMcHorney, C A1 aOcepek-Welikson, K1 aRaczek, A E1 aTeresi, J A1 aReeve, B B uhttp://mail.iacat.org/content/irt-health-outcomes-data-analysis-project-overview-and-summary00387nas a2200097 4500008004100000245005800041210005800099260002700157100001800184856008700202 2007 eng d00aItem selection in computerized classification testing0 aItem selection in computerized classification testing aUniversity of Nebraska1 aThompson, N A uhttp://mail.iacat.org/content/item-selection-computerized-classification-testing-001120nas a2200169 4500008004100000020002300041245008300064210006900147300001400216490000700230520054200237100001500779700001500794700001700809700001500826856010900841 2007 eng d a0962-93431573-264900aMethodological issues for building item banks and computerized adaptive scales0 aMethodological issues for building item banks and computerized a a109-119, 0 v163 aAbstract This paper reviews important methodological considerations for developing item banks and computerized adaptive scales (commonly called computerized adaptive tests in the educational measurement literature, yielding the acronym CAT), including issues of the reference population, dimensionality, dichotomous versus polytomous response scales, differential item functioning (DIF) and conditional scoring, mode effects, the impact of local dependence, and innovative approaches to assessment using CATs in health outcomes research.1 aThissen, D1 aReeve, B B1 aBjorner, J B1 aChang, C-H uhttp://mail.iacat.org/content/methodological-issues-building-item-banks-and-computerized-adaptive-scales00454nas a2200109 4500008003900000245008500039210006900124300000900193490000700202100001800209856011700227 2007 d00aA Practitioner’s Guide for Variable-length Computerized Classification Testing0 aPractitioner s Guide for Variablelength Computerized Classificat a1-130 v121 aThompson, N A uhttp://mail.iacat.org/content/practitioner%E2%80%99s-guide-variable-length-computerized-classification-testing-101458nas a2200181 4500008004100000245008200041210006900123260001300192490000800205520080800213653000801021653001901029653003001048653003401078653004001112100001801152856010601170 2007 eng d00aA practitioner's guide to variable-length computerized classification testing0 apractitioners guide to variablelength computerized classificatio c7/1/20090 v12 3 aVariable-length computerized classification tests, CCTs, (Lin & Spray, 2000; Thompson, 2006) are a powerful and efficient approach to testing for the purpose of classifying examinees into groups. CCTs are designed by the specification of at least five technical components: psychometric model, calibrated item bank, starting point, item selection algorithm, and termination criterion. Several options exist for each of these CCT components, creating a myriad of possible designs. Confusion among designs is exacerbated by the lack of a standardized nomenclature. This article outlines the components of a CCT, common options for each component, and the interaction of options for different components, so that practitioners may more efficiently design CCTs. It also offers a suggestion of nomenclature. 10aCAT10aclassification10acomputer adaptive testing10acomputerized adaptive testing10aComputerized classification testing1 aThompson, N A uhttp://mail.iacat.org/content/practitioners-guide-variable-length-computerized-classification-testing00580nas a2200181 4500008004100000245008300041210006900124300001200193490000700205100001000212700001300222700001100235700001000246700001200256700001400268700001300282856010300295 2007 eng d00aProspective evaluation of the am-pac-cat in outpatient rehabilitation settings0 aProspective evaluation of the ampaccat in outpatient rehabilitat a385-3980 v871 aJette1 aHaley, S1 aTao, W1 aNi, P1 aMoed, R1 aMeyers, D1 aZurek, M uhttp://mail.iacat.org/content/prospective-evaluation-am-pac-cat-outpatient-rehabilitation-settings02745nas a2200541 4500008004100000020002200041245017000063210006900233250001500302260000800317300001100325490000700336520116200343653001901505653002501524653002101549653002101570653001501591653001001606653000901616653001601625653002301641653003201664653001101696653001101707653000901718653001601727653004601743653001801789653002901807653001801836100001501854700001401869700001701883700001301900700001501913700001601928700001501944700001701959700001401976700001801990700001102008700001602019700001502035700001302050700001302063856012702076 2007 eng d a0025-7079 (Print)00aPsychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS)0 aPsychometric evaluation and calibration of healthrelated quality a2007/04/20 cMay aS22-310 v453 aBACKGROUND: The construction and evaluation of item banks to measure unidimensional constructs of health-related quality of life (HRQOL) is a fundamental objective of the Patient-Reported Outcomes Measurement Information System (PROMIS) project. OBJECTIVES: Item banks will be used as the foundation for developing short-form instruments and enabling computerized adaptive testing. The PROMIS Steering Committee selected 5 HRQOL domains for initial focus: physical functioning, fatigue, pain, emotional distress, and social role participation. This report provides an overview of the methods used in the PROMIS item analyses and proposed calibration of item banks. ANALYSES: Analyses include evaluation of data quality (eg, logic and range checking, spread of response distribution within an item), descriptive statistics (eg, frequencies, means), item response theory model assumptions (unidimensionality, local independence, monotonicity), model fit, differential item functioning, and item calibration for banking. RECOMMENDATIONS: Summarized are key analytic issues; recommendations are provided for future evaluations of item banks in HRQOL assessment.10a*Health Status10a*Information Systems10a*Quality of Life10a*Self Disclosure10aAdolescent10aAdult10aAged10aCalibration10aDatabases as Topic10aEvaluation Studies as Topic10aFemale10aHumans10aMale10aMiddle Aged10aOutcome Assessment (Health Care)/*methods10aPsychometrics10aQuestionnaires/standards10aUnited States1 aReeve, B B1 aHays, R D1 aBjorner, J B1 aCook, KF1 aCrane, P K1 aTeresi, J A1 aThissen, D1 aRevicki, D A1 aWeiss, DJ1 aHambleton, RK1 aLiu, H1 aGershon, RC1 aReise, S P1 aLai, J S1 aCella, D uhttp://mail.iacat.org/content/psychometric-evaluation-and-calibration-health-related-quality-life-item-banks-plans-patient01803nas a2200133 4500008004100000245011100041210006900152490001000221520125600231100001801487700002101505700001901526856012401545 2007 eng d00aA review of item exposure control strategies for computerized adaptive testing developed from 1983 to 20050 areview of item exposure control strategies for computerized adap0 v 5(8)3 aSince researchers acknowledged the several advantages of computerized adaptive testing (CAT) over traditional linear test administration, the issue of item exposure control has received increased attention. Due to CAT’s underlying philosophy, particular items in the item pool may be presented too often and become overexposed, while other items are rarely selected by the CAT algorithm and thus become underexposed. Several item exposure control strategies have been presented in the literature aiming to prevent overexposure of some items and to increase the use rate of rarely or never selected items. This paper reviews such strategies that appeared in the relevant literature from 1983 to 2005. The focus of this paper is on studies that have been conducted in order to evaluate the effectiveness of item exposure control strategies for dichotomous scoring, polytomous scoring and testlet-based CAT systems. In addition, the paper discusses the strengths and weaknesses of each strategy group using examples from simulation studies. No new research is presented but rather a compendium of models is reviewed with an overall objective of providing researchers of this field, especially newcomers, a wide view of item exposure control strategies.1 aGeorgiadou, E1 aTriantafillou, E1 aEconomides, AA uhttp://mail.iacat.org/content/review-item-exposure-control-strategies-computerized-adaptive-testing-developed-1983-200501689nas a2200217 4500008004100000020002200041245008000063210006900143260002600212300001200238490000700250520095600257653003401213653002701247653002301274653002901297100001601326700001801342700001301360856009801373 2007 eng d a0146-6216 (Print)00aTest design optimization in CAT early stage with the nominal response model0 aTest design optimization in CAT early stage with the nominal res bSage Publications: US a213-2320 v313 aThe early stage of computerized adaptive testing (CAT) refers to the phase of the trait estimation during the administration of only a few items. This phase can be characterized by bias and instability of estimation. In this study, an item selection criterion is introduced in an attempt to lessen this instability: the D-optimality criterion. A polytomous unconstrained CAT simulation is carried out to evaluate this criterion's performance under different test premises. The simulation shows that the extent of early stage instability depends primarily on the quality of the item pool information and its size and secondarily on the item selection criteria. The efficiency of the D-optimality criterion is similar to the efficiency of other known item selection criteria. Yet, it often yields estimates that, at the beginning of CAT, display a more robust performance against instability. (PsycINFO Database Record (c) 2007 APA, all rights reserved)10acomputerized adaptive testing10anominal response model10arobust performance10atest design optimization1 aPassos, V L1 aBerger, M P F1 aTan, F E uhttp://mail.iacat.org/content/test-design-optimization-cat-early-stage-nominal-response-model02404nas a2200241 4500008004100000020002200041245008500063210006900148260002500217300001200242490000700254520161500261653000801876653003401884653002601918653003001944653002601974100001402000700001402014700001602028700001502044856010302059 2006 eng d a0439-755X (Print)00aThe comparison among item selection strategies of CAT with multiple-choice items0 acomparison among item selection strategies of CAT with multiplec bScience Press: China a778-7830 v383 aThe initial purpose of comparing item selection strategies for CAT was to increase the efficiency of tests. As studies continued, however, it was found that increasing the efficiency of item bank using was also an important goal of comparing item selection strategies. These two goals often conflicted. The key solution was to find a strategy with which both goals could be accomplished. The item selection strategies for graded response model in this study included: the average of the difficulty orders matching with the ability; the medium of the difficulty orders matching with the ability; maximum information; A stratified (average); and A stratified (medium). The evaluation indexes used for comparison included: the bias of ability estimates for the true; the standard error of ability estimates; the average items which the examinees have administered; the standard deviation of the frequency of items selected; and sum of the indices weighted. Using the Monte Carlo simulation method, we obtained some data and computer iterated the data 20 times each under the conditions that the item difficulty parameters followed the normal distribution and even distribution. The results were as follows; The results indicated that no matter difficulty parameters followed the normal distribution or even distribution. Every type of item selection strategies designed in this research had its strong and weak points. In general evaluation, under the condition that items were stratified appropriately, A stratified (medium) (ASM) had the best effect. (PsycINFO Database Record (c) 2007 APA, all rights reserved)10aCAT10acomputerized adaptive testing10agraded response model10aitem selection strategies10amultiple choice items1 aHai-qi, D1 aDe-zhi, C1 aShuliang, D1 aTaiping, D uhttp://mail.iacat.org/content/comparison-among-item-selection-strategies-cat-multiple-choice-items03330nas a2200469 4500008004100000020002200041245011600063210006900179250001500248260000800263300001200271490000700283520189400290653003202184653003102216653002202247653002002269653001002289653000902299653002202308653002802330653003302358653001102391653001102402653002502413653000902438653001602447653004602463653002202509653002402531653003002555653002902585100001502614700001502629700001602644700001102660700002402671700001402695700001802709700001002727856012302737 2006 eng d a0003-9993 (Print)00aComputerized adaptive testing for follow-up after discharge from inpatient rehabilitation: I. Activity outcomes0 aComputerized adaptive testing for followup after discharge from  a2006/08/01 cAug a1033-420 v873 aOBJECTIVE: To examine score agreement, precision, validity, efficiency, and responsiveness of a computerized adaptive testing (CAT) version of the Activity Measure for Post-Acute Care (AM-PAC-CAT) in a prospective, 3-month follow-up sample of inpatient rehabilitation patients recently discharged home. DESIGN: Longitudinal, prospective 1-group cohort study of patients followed approximately 2 weeks after hospital discharge and then 3 months after the initial home visit. SETTING: Follow-up visits conducted in patients' home setting. PARTICIPANTS: Ninety-four adults who were recently discharged from inpatient rehabilitation, with diagnoses of neurologic, orthopedic, and medically complex conditions. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Summary scores from AM-PAC-CAT, including 3 activity domains of movement and physical, personal care and instrumental, and applied cognition were compared with scores from a traditional fixed-length version of the AM-PAC with 66 items (AM-PAC-66). RESULTS: AM-PAC-CAT scores were in good agreement (intraclass correlation coefficient model 3,1 range, .77-.86) with scores from the AM-PAC-66. On average, the CAT programs required 43% of the time and 33% of the items compared with the AM-PAC-66. Both formats discriminated across functional severity groups. The standardized response mean (SRM) was greater for the movement and physical fixed form than the CAT; the effect size and SRM of the 2 other AM-PAC domains showed similar sensitivity between CAT and fixed formats. Using patients' own report as an anchor-based measure of change, the CAT and fixed length formats were comparable in responsiveness to patient-reported change over a 3-month interval. CONCLUSIONS: Accurate estimates for functional activity group-level changes can be obtained from CAT administrations, with a considerable reduction in administration time.10a*Activities of Daily Living10a*Adaptation, Physiological10a*Computer Systems10a*Questionnaires10aAdult10aAged10aAged, 80 and over10aChi-Square Distribution10aFactor Analysis, Statistical10aFemale10aHumans10aLongitudinal Studies10aMale10aMiddle Aged10aOutcome Assessment (Health Care)/*methods10aPatient Discharge10aProspective Studies10aRehabilitation/*standards10aSubacute Care/*standards1 aHaley, S M1 aSiebens, H1 aCoster, W J1 aTao, W1 aBlack-Schaffer, R M1 aGandek, B1 aSinclair, S J1 aNi, P uhttp://mail.iacat.org/content/computerized-adaptive-testing-follow-after-discharge-inpatient-rehabilitation-i-activity00451nas a2200133 4500008004100000245005600041210005600097300001200153490001200165100001800177700002100195700001900216856008200235 2006 eng d00aEvaluation parameters for computer adaptive testing0 aEvaluation parameters for computer adaptive testing a261-2780 vVol. 371 aGeorgiadou, E1 aTriantafillou, E1 aEconomides, AA uhttp://mail.iacat.org/content/evaluation-parameters-computer-adaptive-testing02517nas a2200265 4500008004100000020004100041245013200082210006900214250001500283260000800298300001100306490000700317520154000324653003101864653003701895653003301932653002401965653001101989653002402000653002702024653003302051653003002084100001602114856012102130 2006 eng d a0025-7079 (Print)0025-7079 (Linking)00aOverview of quantitative measurement methods. Equivalence, invariance, and differential item functioning in health applications0 aOverview of quantitative measurement methods Equivalence invaria a2006/10/25 cNov aS39-490 v443 aBACKGROUND: Reviewed in this article are issues relating to the study of invariance and differential item functioning (DIF). The aim of factor analyses and DIF, in the context of invariance testing, is the examination of group differences in item response conditional on an estimate of disability. Discussed are parameters and statistics that are not invariant and cannot be compared validly in crosscultural studies with varying distributions of disability in contrast to those that can be compared (if the model assumptions are met) because they are produced by models such as linear and nonlinear regression. OBJECTIVES: The purpose of this overview is to provide an integrated approach to the quantitative methods used in this special issue to examine measurement equivalence. The methods include classical test theory (CTT), factor analytic, and parametric and nonparametric approaches to DIF detection. Also included in the quantitative section is a discussion of item banking and computerized adaptive testing (CAT). METHODS: Factorial invariance and the articles discussing this topic are introduced. A brief overview of the DIF methods presented in the quantitative section of the special issue is provided together with a discussion of ways in which DIF analyses and examination of invariance using factor models may be complementary. CONCLUSIONS: Although factor analytic and DIF detection methods share features, they provide unique information and can be viewed as complementary in informing about measurement equivalence.10a*Cross-Cultural Comparison10aData Interpretation, Statistical10aFactor Analysis, Statistical10aGuidelines as Topic10aHumans10aModels, Statistical10aPsychometrics/*methods10aStatistics as Topic/*methods10aStatistics, Nonparametric1 aTeresi, J A uhttp://mail.iacat.org/content/overview-quantitative-measurement-methods-equivalence-invariance-and-differential-item02073nas a2200217 4500008004500000245013400045210006900179300001200248490000700260520127300267653003401540653004201574653002501616653001901641100001401660700001301674700001801687700001401705700001501719856012101734 2006 Engldsh 00aSimulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function0 aSimulated computerized adaptive test for patients with shoulder  a290-2980 v593 a

Background and Objective: To test unidimensionality and local independence of a set of shoulder functional status (SFS) items,
develop a computerized adaptive test (CAT) of the items using a rating scale item response theory model (RSM), and compare discriminant validity of measures generated using all items (qIRT) and measures generated using the simulated CAT (qCAT).
Study Design and Setting: We performed a secondary analysis of data collected prospectively during rehabilitation of 400 patients
with shoulder impairments who completed 60 SFS items.
Results: Factor analytic techniques supported that the 42 SFS items formed a unidimensional scale and were locally independent. Except for five items, which were deleted, the RSM fit the data well. The remaining 37 SFS items were used to generate the CAT. On average, 6 items on were needed to estimate precise measures of function using the SFS CAT, compared with all 37 SFS items. The qIRT and qCAT measures were highly correlated (r 5 .96) and resulted in similar classifications of patients.
Conclusion: The simulated SFS CAT was efficient and produced precise, clinically relevant measures of functional status with good
discriminating ability. 

10acomputerized adaptive testing10aFlexilevel Scale of Shoulder Function10aItem Response Theory10aRehabilitation1 aHart, D L1 aCook, KF1 aMioduski, J E1 aTeal, C R1 aCrane, P K uhttp://mail.iacat.org/content/simulated-computerized-adaptive-test-patients-shoulder-impairments-was-efficient-and-002654nas a2200409 4500008004100000245013400041210006900175300001000244490000700254520123100261653002501492653003201517653003101549653001001580653000901590653002201599653003301621653001101654653001101665653000901676653001601685653002401701653003101725653004101756653004501797653006801842653006101910653003001971653002802001653002202029100001402051700001302065700001802078700001402096700001502110856011902125 2006 eng d00aSimulated computerized adaptive test for patients with shoulder impairments was efficient and produced valid measures of function0 aSimulated computerized adaptive test for patients with shoulder  a290-80 v593 aBACKGROUND AND OBJECTIVE: To test unidimensionality and local independence of a set of shoulder functional status (SFS) items, develop a computerized adaptive test (CAT) of the items using a rating scale item response theory model (RSM), and compare discriminant validity of measures generated using all items (theta(IRT)) and measures generated using the simulated CAT (theta(CAT)). STUDY DESIGN AND SETTING: We performed a secondary analysis of data collected prospectively during rehabilitation of 400 patients with shoulder impairments who completed 60 SFS items. RESULTS: Factor analytic techniques supported that the 42 SFS items formed a unidimensional scale and were locally independent. Except for five items, which were deleted, the RSM fit the data well. The remaining 37 SFS items were used to generate the CAT. On average, 6 items were needed to estimate precise measures of function using the SFS CAT, compared with all 37 SFS items. The theta(IRT) and theta(CAT) measures were highly correlated (r = .96) and resulted in similar classifications of patients. CONCLUSION: The simulated SFS CAT was efficient and produced precise, clinically relevant measures of functional status with good discriminating ability.10a*Computer Simulation10a*Range of Motion, Articular10aActivities of Daily Living10aAdult10aAged10aAged, 80 and over10aFactor Analysis, Statistical10aFemale10aHumans10aMale10aMiddle Aged10aProspective Studies10aReproducibility of Results10aResearch Support, N.I.H., Extramural10aResearch Support, U.S. Gov't, Non-P.H.S.10aShoulder Dislocation/*physiopathology/psychology/rehabilitation10aShoulder Pain/*physiopathology/psychology/rehabilitation10aShoulder/*physiopathology10aSickness Impact Profile10aTreatment Outcome1 aHart, D L1 aCook, KF1 aMioduski, J E1 aTeal, C R1 aCrane, P K uhttp://mail.iacat.org/content/simulated-computerized-adaptive-test-patients-shoulder-impairments-was-efficient-and00509nam a2200097 4500008004100000245009800041210006900139260006400208100001900272856012000291 2005 eng d00aAdaptive selection of personality items to inform a neural network predicting job performance0 aAdaptive selection of personality items to inform a neural netwo aUnpublished doctoral dissertation, University of Washington1 aThissen-Roe, A uhttp://mail.iacat.org/content/adaptive-selection-personality-items-inform-neural-network-predicting-job-performance02353nas a2200193 4500008004100000245008700041210006900128300001200197490000700209520170500216653003001921653002201951653001401973653002801987653001302015100001002028700001302038856010802051 2005 eng d00aA computer-assisted test design and diagnosis system for use by classroom teachers0 acomputerassisted test design and diagnosis system for use by cla a419-4290 v213 aComputer-assisted assessment (CAA) has become increasingly important in education in recent years. A variety of computer software systems have been developed to help assess the performance of students at various levels. However, such systems are primarily designed to provide objective assessment of students and analysis of test items, and focus has been mainly placed on higher and further education. Although there are commercial professional systems available for use by primary and secondary educational institutions, such systems are generally expensive and require skilled expertise to operate. In view of the rapid progress made in the use of computer-based assessment for primary and secondary students by education authorities here in the UK and elsewhere, there is a need to develop systems which are economic and easy to use and can provide the necessary information that can help teachers improve students' performance. This paper presents the development of a software system that provides a range of functions including generating items and building item banks, designing tests, conducting tests on computers and analysing test results. Specifically, the system can generate information on the performance of students and test items that can be easily used to identify curriculum areas where students are under performing. A case study based on data collected from five secondary schools in Hong Kong involved in the Curriculum, Evaluation and Management Centre's Middle Years Information System Project, Durham University, UK, has been undertaken to demonstrate the use of the system for diagnostic and performance analysis. (PsycINFO Database Record (c) 2006 APA ) (journal abstract)10aComputer Assisted Testing10aComputer Software10aDiagnosis10aEducational Measurement10aTeachers1 aHe, Q1 aTymms, P uhttp://mail.iacat.org/content/computer-assisted-test-design-and-diagnosis-system-use-classroom-teachers02215nas a2200373 4500008004100000245011500041210006900156300001100225490000700236520104400243653002101287653002001308653001001328653000901338653002801347653001101375653003801386653000901424653001601433653004101449653001801490653003701508653003001545100001401575700001301589700001301602700001501615700001701630700001501647700001901662700001601681700001801697856012601715 2005 eng d00aData pooling and analysis to build a preliminary item bank: an example using bowel function in prostate cancer0 aData pooling and analysis to build a preliminary item bank an ex a142-590 v283 aAssessing bowel function (BF) in prostate cancer can help determine therapeutic trade-offs. We determined the components of BF commonly assessed in prostate cancer studies as an initial step in creating an item bank for clinical and research application. We analyzed six archived data sets representing 4,246 men with prostate cancer. Thirty-one items from validated instruments were available for analysis. Items were classified into domains (diarrhea, rectal urgency, pain, bleeding, bother/distress, and other) then subjected to conventional psychometric and item response theory (IRT) analyses. Items fit the IRT model if the ratio between observed and expected item variance was between 0.60 and 1.40. Four of 31 items had inadequate fit in at least one analysis. Poorly fitting items included bleeding (2), rectal urgency (1), and bother/distress (1). A fifth item assessing hemorrhoids was poorly correlated with other items. Our analyses supported four related components of BF: diarrhea, rectal urgency, pain, and bother/distress.10a*Quality of Life10a*Questionnaires10aAdult10aAged10aData Collection/methods10aHumans10aIntestine, Large/*physiopathology10aMale10aMiddle Aged10aProstatic Neoplasms/*physiopathology10aPsychometrics10aResearch Support, Non-U.S. Gov't10aStatistics, Nonparametric1 aEton, D T1 aLai, J S1 aCella, D1 aReeve, B B1 aTalcott, J A1 aClark, J A1 aMcPherson, C P1 aLitwin, M S1 aMoinpour, C M uhttp://mail.iacat.org/content/data-pooling-and-analysis-build-preliminary-item-bank-example-using-bowel-function-prostate10202nas a2200553 4500008004100000245016300041210006900204300001400273490000700287520862500294653001808919653003208937100001608969700001608985700001409001700001609015700001409031700001509045700001609060700001409076700001509090700001509105700001409120700001709134700001709151700001709168700001609185700001709201700001609218700001509234700001609249700001709265700002309282700001609305700002209321700001609343700001609359700001709375700001309392700001509405700001309420700001609433700001209449700001409461700001609475700002009491700001209511856012509523 2005 eng d00aToward efficient and comprehensive measurement of the alcohol problems continuum in college students: The Brief Young Adult Alcohol Consequences Questionnaire0 aToward efficient and comprehensive measurement of the alcohol pr a1180-11890 v293 aBackground: Although a number of measures of alcohol problems in college students have been studied, the psychometric development and validation of these scales have been limited, for the most part, to methods based on classical test theory. In this study, we conducted analyses based on item response theory to select a set of items for measuring the alcohol problem severity continuum in college students that balances comprehensiveness and efficiency and is free from significant gender bias., Method: We conducted Rasch model analyses of responses to the 48-item Young Adult Alcohol Consequences Questionnaire by 164 male and 176 female college students who drank on at least a weekly basis. An iterative process using item fit statistics, item severities, item discrimination parameters, model residuals, and analysis of differential item functioning by gender was used to pare the items down to those that best fit a Rasch model and that were most efficient in discriminating among levels of alcohol problems in the sample., Results: The process of iterative Rasch model analyses resulted in a final 24-item scale with the data fitting the unidimensional Rasch model very well. The scale showed excellent distributional properties, had items adequately matched to the severity of alcohol problems in the sample, covered a full range of problem severity, and appeared highly efficient in retaining all of the meaningful variance captured by the original set of 48 items., Conclusions: The use of Rasch model analyses to inform item selection produced a final scale that, in both its comprehensiveness and its efficiency, should be a useful tool for researchers studying alcohol problems in college students. To aid interpretation of raw scores, examples of the types of alcohol problems that are likely to be experienced across a range of selected scores are provided., (C)2005Research Society on AlcoholismAn important, sometimes controversial feature of all psychological phenomena is whether they are categorical or dimensional. A conceptual and psychometric framework is described for distinguishing whether the latent structure behind manifest categories (e.g., psychiatric diagnoses, attitude groups, or stages of development) is category-like or dimension-like. Being dimension-like requires (a) within-category heterogeneity and (b) between-category quantitative differences. Being category-like requires (a) within-category homogeneity and (b) between-category qualitative differences. The relation between this classification and abrupt versus smooth differences is discussed. Hybrid structures are possible. Being category-like is itself a matter of degree; the authors offer a formalized framework to determine this degree. Empirical applications to personality disorders, attitudes toward capital punishment, and stages of cognitive development illustrate the approach., (C) 2005 by the American Psychological AssociationThe authors conducted Rasch model ( G. Rasch, 1960) analyses of items from the Young Adult Alcohol Problems Screening Test (YAAPST; S. C. Hurlbut & K. J. Sher, 1992) to examine the relative severity and ordering of alcohol problems in 806 college students. Items appeared to measure a single dimension of alcohol problem severity, covering a broad range of the latent continuum. Items fit the Rasch model well, with less severe symptoms reliably preceding more severe symptoms in a potential progression toward increasing levels of problem severity. However, certain items did not index problem severity consistently across demographic subgroups. A shortened, alternative version of the YAAPST is proposed, and a norm table is provided that allows for a linking of total YAAPST scores to expected symptom expression., (C) 2004 by the American Psychological AssociationA didactic on latent growth curve modeling for ordinal outcomes is presented. The conceptual aspects of modeling growth with ordinal variables and the notion of threshold invariance are illustrated graphically using a hypothetical example. The ordinal growth model is described in terms of 3 nested models: (a) multivariate normality of the underlying continuous latent variables (yt) and its relationship with the observed ordinal response pattern (Yt), (b) threshold invariance over time, and (c) growth model for the continuous latent variable on a common scale. Algebraic implications of the model restrictions are derived, and practical aspects of fitting ordinal growth models are discussed with the help of an empirical example and Mx script ( M. C. Neale, S. M. Boker, G. Xie, & H. H. Maes, 1999). The necessary conditions for the identification of growth models with ordinal data and the methodological implications of the model of threshold invariance are discussed., (C) 2004 by the American Psychological AssociationRecent research points toward the viability of conceptualizing alcohol problems as arrayed along a continuum. Nevertheless, modern statistical techniques designed to scale multiple problems along a continuum (latent trait modeling; LTM) have rarely been applied to alcohol problems. This study applies LTM methods to data on 110 problems reported during in-person interviews of 1,348 middle-aged men (mean age = 43) from the general population. The results revealed a continuum of severity linking the 110 problems, ranging from heavy and abusive drinking, through tolerance and withdrawal, to serious complications of alcoholism. These results indicate that alcohol problems can be arrayed along a dimension of severity and emphasize the relevance of LTM to informing the conceptualization and assessment of alcohol problems., (C) 2004 by the American Psychological AssociationItem response theory (IRT) is supplanting classical test theory as the basis for measures development. This study demonstrated the utility of IRT for evaluating DSM-IV diagnostic criteria. Data on alcohol, cannabis, and cocaine symptoms from 372 adult clinical participants interviewed with the Composite International Diagnostic Interview-Expanded Substance Abuse Module (CIDI-SAM) were analyzed with Mplus ( B. Muthen & L. Muthen, 1998) and MULTILOG ( D. Thissen, 1991) software. Tolerance and legal problems criteria were dropped because of poor fit with a unidimensional model. Item response curves, test information curves, and testing of variously constrained models suggested that DSM-IV criteria in the CIDI-SAM discriminate between only impaired and less impaired cases and may not be useful to scale case severity. IRT can be used to study the construct validity of DSM-IV diagnoses and to identify diagnostic criteria with poor performance., (C) 2004 by the American Psychological AssociationThis study examined the psychometric characteristics of an index of substance use involvement using item response theory. The sample consisted of 292 men and 140 women who qualified for a Diagnostic and Statistical Manual of Mental Disorders (3rd ed., rev.; American Psychiatric Association, 1987) substance use disorder (SUD) diagnosis and 293 men and 445 women who did not qualify for a SUD diagnosis. The results indicated that men had a higher probability of endorsing substance use compared with women. The index significantly predicted health, psychiatric, and psychosocial disturbances as well as level of substance use behavior and severity of SUD after a 2-year follow-up. Finally, this index is a reliable and useful prognostic indicator of the risk for SUD and the medical and psychosocial sequelae of drug consumption., (C) 2002 by the American Psychological AssociationComparability, validity, and impact of loss of information of a computerized adaptive administration of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) were assessed in a sample of 140 Veterans Affairs hospital patients. The countdown method ( Butcher, Keller, & Bacon, 1985) was used to adaptively administer Scales L (Lie) and F (Frequency), the 10 clinical scales, and the 15 content scales. Participants completed the MMPI-2 twice, in 1 of 2 conditions: computerized conventional test-retest, or computerized conventional-computerized adaptive. Mean profiles and test-retest correlations across modalities were comparable. Correlations between MMPI-2 scales and criterion measures supported the validity of the countdown method, although some attenuation of validity was suggested for certain health-related items. Loss of information incurred with this mode of adaptive testing has minimal impact on test validity. Item and time savings were substantial., (C) 1999 by the American Psychological Association10aPsychometrics10aSubstance-Related Disorders1 aKahler, C W1 aStrong, D R1 aRead, J P1 aDe Boeck, P1 aWilson, M1 aActon, G S1 aPalfai, T P1 aWood, M D1 aMehta, P D1 aNeale, M C1 aFlay, B R1 aConklin, C A1 aClayton, R R1 aTiffany, S T1 aShiffman, S1 aKrueger, R F1 aNichol, P E1 aHicks, B M1 aMarkon, K E1 aPatrick, C J1 aIacono, William, G1 aMcGue, Matt1 aLangenbucher, J W1 aLabouvie, E1 aMartin, C S1 aSanjuan, P M1 aBavly, L1 aKirisci, L1 aChung, T1 aVanyukov, M1 aDunn, M1 aTarter, R1 aHandel, R W1 aBen-Porath, Y S1 aWatt, M uhttp://mail.iacat.org/content/toward-efficient-and-comprehensive-measurement-alcohol-problems-continuum-college-students01775nas a2200217 4500008004100000245007700041210006900118300001100187490000600198520108400204653001501288653002501303653001601328653001001344653001801354653002101372653003101393100001901424700001501443856009901458 2004 eng d00aPre-equating: a simulation study based on a large scale assessment model0 aPreequating a simulation study based on a large scale assessment a301-180 v53 aAlthough post-equating (PE) has proven to be an acceptable method in the scaling and equating of items and forms, there are times when the turn-around period for equating and converting raw scores to scale scores is so small that PE cannot be undertaken within the prescribed time frame. In such cases, pre-equating (PrE) could be considered as an acceptable alternative. Assessing the feasibility of using item calibrations from the item bank (as in PrE) is conditioned on the equivalency of the calibrations and the errors associated with it vis a vis the results obtained via PE. This paper creates item banks over three periods of item introduction into the banks and uses the Rasch model in examining data with respect to the recovery of item parameters, the measurement error, and the effect cut-points have on examinee placement in both the PrE and PE situations. Results indicate that PrE is a viable solution to PE provided the stability of the item calibrations are enhanced by using large sample sizes (perhaps as large as full-population) in populating the item bank.10a*Databases10a*Models, Theoretical10aCalibration10aHuman10aPsychometrics10aReference Values10aReproducibility of Results1 aTaherbhai, H M1 aYoung, M J uhttp://mail.iacat.org/content/pre-equating-simulation-study-based-large-scale-assessment-model00542nas a2200181 4500008004100000245005000041210004800091300001000139490000700149653003400156100001400190700001500204700001500219700001400234700002600248700001300274856007300287 2004 eng d00aSiette: a web-based tool for adaptive testing0 aSiette a webbased tool for adaptive testing a29-610 v1410acomputerized adaptive testing1 aConejo, R1 aGuzmán, E1 aMillán, E1 aTrella, M1 aPérez-De-La-Cruz, JL1 aRíos, A uhttp://mail.iacat.org/content/siette-web-based-tool-adaptive-testing01924nas a2200241 4500008004100000245009400041210006900135300001200204490000700216520110100223653002101324653001301345653003001358653005701388653000901445653003201454653002601486653002001512100001401532700001301546700001501559856010801574 2003 eng d00aA Bayesian method for the detection of item preknowledge in computerized adaptive testing0 aBayesian method for the detection of item preknowledge in comput a121-1370 v273 aWith the increased use of continuous testing in computerized adaptive testing, new concerns about test security have evolved, such as how to ensure that items in an item pool are safeguarded from theft. In this article, procedures to detect test takers using item preknowledge are explored. When test takers use item preknowledge, their item responses deviate from the underlying item response theory (IRT) model, and estimated abilities may be inflated. This deviation may be detected through the use of person-fit indices. A Bayesian posterior log odds ratio index is proposed for detecting the use of item preknowledge. In this approach to person fit, the estimated probability that each test taker has preknowledge of items is updated after each item response. These probabilities are based on the IRT parameters, a model specifying the probability that each item has been memorized, and the test taker's item responses. Simulations based on an operational computerized adaptive test (CAT) pool are used to demonstrate the use of the odds ratio index. (PsycINFO Database Record (c) 2005 APA )10aAdaptive Testing10aCheating10aComputer Assisted Testing10aIndividual Differences computerized adaptive testing10aItem10aItem Analysis (Statistical)10aMathematical Modeling10aResponse Theory1 aMcLeod, L1 aLewis, C1 aThissen, D uhttp://mail.iacat.org/content/bayesian-method-detection-item-preknowledge-computerized-adaptive-testing00493nas a2200121 4500008004100000245009400041210006900135300001500204490000700219100002000226700001500246856011000261 2003 eng d00aA Bayesian method for the detection of item preknowledge in computerized adaptive testing0 aBayesian method for the detection of item preknowledge in comput a2, 121-1370 v271 aMcLeod L. D., C1 aThissen, D uhttp://mail.iacat.org/content/bayesian-method-detection-item-preknowledge-computerized-adaptive-testing-000425nas a2200097 4500008004100000245007800041210006900119260001500188100001900203856010500222 2003 eng d00aEvaluating stability of online item calibrations under varying conditions0 aEvaluating stability of online item calibrations under varying c aChicago IL1 aThomasson, G L uhttp://mail.iacat.org/content/evaluating-stability-online-item-calibrations-under-varying-conditions00432nas a2200109 4500008003900000245007600039210006900115260001500184100001600199700001800215856008900233 2003 d00aThe evaluation of exposure control procedures for an operational CAT. 0 aevaluation of exposure control procedures for an operational CAT aChicago IL1 aFrench, B F1 aThompson, T T uhttp://mail.iacat.org/content/evaluation-exposure-control-procedures-operational-cat00538nas a2200121 4500008004100000245014000041210006900181300001000250490000700260100001300267700001600280856012000296 2002 eng d00aApplication of an empirical Bayes enhancement of Mantel-Haenszel differential item functioning analysis to a computerized adaptive test0 aApplication of an empirical Bayes enhancement of MantelHaenszel  a57-760 v261 aZwick, R1 aThayer, D T uhttp://mail.iacat.org/content/application-empirical-bayes-enhancement-mantel-haenszel-differential-item-functioning01503nas a2200133 4500008004100000245011800041210006900159300000900228490000700237520094700244653003401191100001801225856012601243 2002 eng d00aComputer adaptive testing: The impact of test characteristics on perceived performance and test takers' reactions0 aComputer adaptive testing The impact of test characteristics on  a34100 v623 aThis study examined the relationship between characteristics of adaptive testing and test takers' subsequent reactions to the test. Participants took a computer adaptive test in which two features, the difficulty of the initial item and the difficulty of subsequent items, were manipulated. These two features of adaptive testing determined the number of items answered correctly by examinees and their subsequent reactions to the test. The data show that the relationship between test characteristics and reactions was fully mediated by perceived performance on the test. In addition, the impact of feedback on reactions to adaptive testing was also evaluated. In general, feedback that was consistent with perceptions of performance had a positive impact on reactions to the test. Implications for adaptive test design concerning maximizing test takers' reactions are discussed. (PsycINFO Database Record (c) 2003 APA, all rights reserved).10acomputerized adaptive testing1 aTonidandel, S uhttp://mail.iacat.org/content/computer-adaptive-testing-impact-test-characteristics-perceived-performance-and-test-takers00568nas a2200133 4500008003900000245012000039210006900159300001200228490000700240100001800247700001900265700001500284856013500299 2002 d00aComputer-adaptive testing: The impact of test characteristics on perceived performance and test takers’ reactions0 aComputeradaptive testing The impact of test characteristics on p a320-3320 v871 aTonidandel, S1 aQuiñones, M A1 aAdams, A A uhttp://mail.iacat.org/content/computer-adaptive-testing-impact-test-characteristics-perceived-performance-and-test-takers%E2%80%9900467nas a2200097 4500008004100000245008700041210006900128260003900197100001500236856011800251 2002 eng d00aDeveloping tailored instruments: Item banking and computerized adaptive assessment0 aDeveloping tailored instruments Item banking and computerized ad a” Bethesda, Maryland, June 23-251 aThissen, D uhttp://mail.iacat.org/content/developing-tailored-instruments-item-banking-and-computerized-adaptive-assessment-300373nas a2200097 4500008004100000245005900041210005900100260001900159100001600178856008100194 2002 eng d00aEmploying new ideas in CAT to a simulated reading test0 aEmploying new ideas in CAT to a simulated reading test aNew Orleans LA1 aThompson, T uhttp://mail.iacat.org/content/employing-new-ideas-cat-simulated-reading-test00521nas a2200133 4500008004100000245009700041210006900138260001900207100001500226700001100241700001300252700001100265856011100276 2002 eng d00aAn investigation of procedures for estimating error indexes in proficiency estimation in CAT0 ainvestigation of procedures for estimating error indexes in prof aNew Orleans LA1 aShyu, C -Y1 aFan, M1 aThompson1 aHsu, Y uhttp://mail.iacat.org/content/investigation-procedures-estimating-error-indexes-proficiency-estimation-cat00410nas a2200097 4500008004100000245007500041210006900116100001700185700001700202856009300219 2002 eng d00aMapping the Development of Pre-reading Skills with STAR Early Literacy0 aMapping the Development of Prereading Skills with STAR Early Lit1 aMcBride, J R1 aTardrew, S P uhttp://mail.iacat.org/content/mapping-development-pre-reading-skills-star-early-literacy00483nas a2200109 4500008003900000245010300039210006900142260001500211100001500226700001300241856011900254 2001 d00aEffects of changes in the examinees’ ability distribution on the exposure control methods in CAT0 aEffects of changes in the examinees ability distribution on the  aSeattle WA1 aChang, S-W1 aTwu, B-Y uhttp://mail.iacat.org/content/effects-changes-examinees%E2%80%99-ability-distribution-exposure-control-methods-cat01841nas a2200229 4500008004100000245007400041210006900115300001000184490000700194520110700201653002101308653000901329653004801338653001801386653002801404653002401432653001501456100001601471700001701487700001601504856009101520 2001 eng d00aEvaluation of an MMPI-A short form: Implications for adaptive testing0 aEvaluation of an MMPIA short form Implications for adaptive test a76-890 v763 aReports some psychometric properties of an MMPI-Adolescent version (MMPI-A; J. N. Butcher et al, 1992) short form based on administration of the 1st 150 items of this test instrument. The authors report results for both the MMPI-A normative sample of 1,620 adolescents (aged 14-18 yrs) and a clinical sample of 565 adolescents (mean age 15.2 yrs) in a variety of treatment settings. The authors summarize results for the MMPI-A basic scales in terms of Pearson product-moment correlations generated between full administration and short-form administration formats and mean T score elevations for the basic scales generated by each approach. In this investigation, the authors also examine single-scale and 2-point congruences found for the MMPI-A basic clinical scales as derived from standard and short-form administrations. The authors present the relative strengths and weaknesses of the MMPI-A short form and discuss the findings in terms of implications for attempts to shorten the item pool through the use of computerized adaptive assessment approaches. (PsycINFO Database Record (c) 2005 APA )10aAdaptive Testing10aMean10aMinnesota Multiphasic Personality Inventory10aPsychometrics10aStatistical Correlation10aStatistical Samples10aTest Forms1 aArcher, R P1 aTirrell, C A1 aElkins, D E uhttp://mail.iacat.org/content/evaluation-mmpi-short-form-implications-adaptive-testing00575nas a2200133 4500008004100000245014400041210006900185260001500254100001500269700001100284700001300295700000900308856012400317 2001 eng d00aAn investigation of procedures for estimating error indexes in proficiency estimation in a realistic second-order equitable CAT environment0 ainvestigation of procedures for estimating error indexes in prof aSeattle WA1 aShyu, C -Y1 aFan, M1 aThompson1 aHsu. uhttp://mail.iacat.org/content/investigation-procedures-estimating-error-indexes-proficiency-estimation-realistic-second01466nas a2200253 4500008004100000245013900041210006900180260005000249300001200299520053700311653002100848653002500869653001200894653002900906653002200935653002700957653002600984653001501010653001601025100001501041700001601056700001701072856012301089 2001 eng d00aItem response theory applied to combinations of multiple-choice and constructed-response items--approximation methods for scale scores0 aItem response theory applied to combinations of multiplechoice a aMahwah, N.J. USAbLawrence Erlbaum Associates a289-3153 a(From the chapter) The authors develop approximate methods that replace the scoring tables with weighted linear combinations of the component scores. Topics discussed include: a linear approximation for the extension to combinations of scores; the generalization of two or more scores; potential applications of linear approximations to item response theory in computerized adaptive tests; and evaluation of the pattern-of-summed-scores, and Gaussian approximation, estimates of proficiency. (PsycINFO Database Record (c) 2005 APA )10aAdaptive Testing10aItem Response Theory10aMethod)10aMultiple Choice (Testing10aScoring (Testing)10aStatistical Estimation10aStatistical Weighting10aTest Items10aTest Scores1 aThissen, D1 aNelson, L A1 aSwygert, K A uhttp://mail.iacat.org/content/item-response-theory-applied-combinations-multiple-choice-and-constructed-response-items03153nas a2200133 4500008004100000245007900041210006900120300000900189490000700198520266000205653003402865100001502899856010502914 2001 eng d00aMultidimensional adaptive testing using the weighted likelihood estimation0 aMultidimensional adaptive testing using the weighted likelihood  a47460 v613 aThis study extended Warm's (1989) weighted likelihood estimation (WLE) to a multidimensional computerized adaptive test (MCAT) setting. WLE was compared with the maximum likelihood estimation (MLE), expected a posteriori (EAP), and maximum a posteriori (MAP) using a three-dimensional 3PL IRT model under a variety of computerized adaptive testing conditions. The dependent variables included bias, standard error of ability estimates (SE), square root of mean square error (RMSE), and test information. The independent variables were ability estimation methods, intercorrelation levels between dimensions, multidimensional structures, and ability combinations. Simulation results were presented in terms of descriptive statistics, such as figures and tables. In addition, inferential procedures were used to analyze bias by conceptualizing this Monte Carlo study as a statistical sampling experiment. The results of this study indicate that WLE and the other three estimation methods yield significantly more accurate ability estimates under an approximate simple test structure with one dominant dimension and several secondary dimensions. All four estimation methods, especially WLE, yield very large SEs when a three equally dominant multidimensional structure was employed. Consistent with previous findings based on unidimensional IRT model, MLE and WLE are less biased in the extreme of the ability scale; MLE and WLE yield larger SEs than the Bayesian methods; test information-based SEs underestimate actual SEs for both MLE and WLE in MCAT situations, especially at shorter test lengths; WLE reduced the bias of MLE under the approximate simple structure; test information-based SEs underestimates the actual SEs of MLE and WLE estimators in the MCAT conditions, similar to the findings of Warm (1989) in the unidimensional case. The results from the MCAT simulations did show some advantages of WLE in reducing the bias of MLE under the approximate simple structure with a fixed test length of 50 items, which was consistent with the previous research findings based on different unidimensional models. It is clear from the current results that all four methods perform very poorly when the multidimensional structures with multiple dominant factors were employed. More research efforts are urged to investigate systematically how different multidimensional structures affect the accuracy and reliability of ability estimation. Based on the simulated results in this study, there is no significant effect found on the ability estimation from the intercorrelation between dimensions. (PsycINFO Database Record (c) 2003 APA, all rights reserved).10acomputerized adaptive testing1 aTseng, F-L uhttp://mail.iacat.org/content/multidimensional-adaptive-testing-using-weighted-likelihood-estimation00503nas a2200109 4500008004100000245011100041210006900152260001500221100001600236700001400252856012700266 2001 eng d00aMultidimensional adaptive testing using weighted likelihood estimation: A comparison of estimation methods0 aMultidimensional adaptive testing using weighted likelihood esti aSeattle WA1 aTseng, F -E1 aHsu, T -C uhttp://mail.iacat.org/content/multidimensional-adaptive-testing-using-weighted-likelihood-estimation-comparison-estimation02338nas a2200157 4500008004100000020001400041245019300055210006900248300001200317490000700329520164900336653003401985100001402019700001502033856013202048 2001 eng d a0214-991500aPasado, presente y futuro de los test adaptativos informatizados: Entrevista con Isaac I. Béjar [Past, present and future of computerized adaptive testing: Interview with Isaac I. Béjar]0 aPasado presente y futuro de los test adaptativos informatizados  a685-6900 v133 aEn este artículo se presenta el resultado de una entrevista con Isaac I. Bejar. El Dr. Bejar es actualmente Investigador Científico Principal y Director del Centro para el Diseño de Evaluación y Sistemas de Puntuación perteneciente a la División de Investigación del Servicio de Medición Educativa (Educa - tional Testing Service, Princeton, NJ, EE.UU.). El objetivo de esta entrevista fue conversar sobre el pasado, presente y futuro de los Tests Adaptativos Informatizados. En la entrevista se recogen los inicios de los Tests Adaptativos y de los Tests Adaptativos Informatizados y últimos avances que se desarrollan en el Educational Testing Service sobre este tipo de tests (modelos generativos, isomorfos, puntuación automática de ítems de ensayo…). Se finaliza con la visión de futuro de los Tests Adaptativos Informatizados y su utilización en España.Past, present and future of Computerized Adaptive Testing: Interview with Isaac I. Bejar. In this paper the results of an interview with Isaac I. Bejar are presented. Dr. Bejar is currently Principal Research Scientist and Director of Center for Assessment Design and Scoring, in Research Division at Educational Testing Service (Princeton, NJ, U.S.A.). The aim of this interview was to review the past, present and future of the Computerized Adaptive Tests. The beginnings of the Adaptive Tests and Computerized Adaptive Tests, and the latest advances developed at the Educational Testing Service (generative response models, isomorphs, automated scoring…) are reviewed. The future of Computerized Adaptive Tests is analyzed, and its utilization in Spain commented.10acomputerized adaptive testing1 aTejada, R1 aAntonio, J uhttp://mail.iacat.org/content/pasado-presente-y-futuro-de-los-test-adaptativos-informatizados-entrevista-con-isaac-i-b%C3%A9jar00449nas a2200109 4500008004100000245007300041210006900114260002700183100001800210700001300228856009800241 2000 eng d00aApplying specific information item selection to a passage-based test0 aApplying specific information item selection to a passagebased t aNew Orleans, LA, April1 aThompson, T D1 aDavey, T uhttp://mail.iacat.org/content/applying-specific-information-item-selection-passage-based-test00588nam a2200181 4500008004100000245005800041210005500099260005100154100001100205700001400216700001600230700001600246700001400262700001500276700001700291700001500308856008300323 2000 eng d00aComputerized adaptive testing: A primer (2nd edition)0 aComputerized adaptive testing A primer 2nd edition aHillsdale, N. J. : Lawrence Erlbaum Associates1 aWainer1 aDorans, N1 aEignor, D R1 aFlaugher, R1 aGreen, BF1 aMislevy, R1 aSteinberg, L1 aThissen, D uhttp://mail.iacat.org/content/computerized-adaptive-testing-primer-2nd-edition01223nas a2200145 4500008004100000245009700041210006900138300001200207490000600219520069600225100001500921700001400936700001400950856011300964 2000 eng d00aThe impact of receiving the same items on consecutive computer adaptive test administrations0 aimpact of receiving the same items on consecutive computer adapt a131-1510 v13 aAddresses item exposure in a Computerized Adaptive Test (CAT) when the item selection algorithm is permitted to present examinees with questions that they have already been asked in a previous test administration. The data were from a national certification exam in medical technology. The responses of 178 repeat examinees were compared. The results indicate that the combined use of an adaptive algorithm to select items and latent trait theory to estimate person ability provides substantial protection from score contamination. The implications for constraints that prohibit examinees from seeing an item twice are discussed. (PsycINFO Database Record (c) 2002 APA, all rights reserved).1 aO'Neill, T1 aLunz, M E1 aThiede, K uhttp://mail.iacat.org/content/impact-receiving-same-items-consecutive-computer-adaptive-test-administrations00381nas a2200121 4500008003900000245004800039210004800087300000900135490000600144100001500150700001900165856007500184 2000 d00aPsychological reactions to adaptive testing0 aPsychological reactions to adaptive testing a7-150 v81 aTonidandel1 aQuiñones, M A uhttp://mail.iacat.org/content/psychological-reactions-adaptive-testing00547nas a2200133 4500008004100000245005900041210005900100260009900159100001400258700001400272700002700286700001400313856008600327 2000 eng d00aUsing Bayesian Networks in Computerized Adaptive Tests0 aUsing Bayesian Networks in Computerized Adaptive Tests aM. Ortega and J. Bravo (Eds.),Computers and Education in the 21st Century. Kluwer, pp. 217228.1 aMillan, E1 aTrella, M1 aPerez-de-la-Cruz, J -L1 aConejo, R uhttp://mail.iacat.org/content/using-bayesian-networks-computerized-adaptive-tests00490nas a2200109 4500008004100000245009800041210006900139260002100208100001500229700001900244856011700263 1999 eng d00aAutomated flawed item detection and graphical item used in on-line calibration of CAT-ASVAB. 0 aAutomated flawed item detection and graphical item used in onlin aMontreal, Canada1 aKrass, I A1 aThomasson, G L uhttp://mail.iacat.org/content/automated-flawed-item-detection-and-graphical-item-used-line-calibration-cat-asvab00443nas a2200121 4500008004100000245006600041210006600107260001300173100001100186700001600197700001300213856009500226 1999 eng d00aConstructing adaptive tests to parallel conventional programs0 aConstructing adaptive tests to parallel conventional programs aMontreal1 aFan, M1 aThompson, T1 aDavey, T uhttp://mail.iacat.org/content/constructing-adaptive-tests-parallel-conventional-programs-000662nas a2200133 4500008004100000245012100041210006900162260010800231100001600339700001700355700001600372700001500388856012500403 1999 eng d00aThe development of a computerized adaptive selection system for computer programmers in a financial services company0 adevelopment of a computerized adaptive selection system for comp aF. Drasgow and J. B. Olsen (Eds.), Innvoations in computerized assessment (p. 7-33). Mahwah NJ Erlbaum.1 aZickar, M J1 aOverton, R C1 aTaylor, L R1 aHarms, H J uhttp://mail.iacat.org/content/development-computerized-adaptive-selection-system-computer-programmers-financial-services00535nas a2200109 4500008004100000245013000041210006900171260002100240100002000261700001900281856012500300 1999 eng d00aImplications from information functions and standard errors for determining preferred normed scales for CAT and P and P ASVAB0 aImplications from information functions and standard errors for  aMontreal, Canada1 aNicewander, W A1 aThomasson, G L uhttp://mail.iacat.org/content/implications-information-functions-and-standard-errors-determining-preferred-normed-scales00391nas a2200121 4500008004100000245004400041210004400085260002100129100001300150700001700163700001800180856007100198 1999 eng d00aPretesting alongside an operational CAT0 aPretesting alongside an operational CAT aMontreal, Canada1 aDavey, T1 aPommerich, M1 aThompson, D T uhttp://mail.iacat.org/content/pretesting-alongside-operational-cat01183nas a2200133 4500008004100000245006300041210006300104300001100167490000700178520073600185100002000921700001900941856008900960 1999 eng d00aSome reliability estimates for computerized adaptive tests0 aSome reliability estimates for computerized adaptive tests a239-470 v233 aThree reliability estimates are derived for the Bayes modal estimate (BME) and the maximum likelihood estimate (MLE) of θin computerized adaptive tests (CAT). Each reliability estimate is a function of test information. Two of the estimates are shown to be upper bounds to true reliability. The three reliability estimates and the true reliabilities of both MLE and BME were computed for seven simulated CATs. Results showed that the true reliabilities for MLE and BME were nearly identical in all seven tests. The three reliability estimates never differed from the true reliabilities by more than .02 (.01 in most cases). A simple implementation of one reliability estimate was found to accurately estimate reliability in CATs. 1 aNicewander, W A1 aThomasson, G L uhttp://mail.iacat.org/content/some-reliability-estimates-computerized-adaptive-tests00325nas a2200121 4500008004100000245002500041210002500066260001400091100001100105700001800116700001400134856005500148 1998 eng d00aCAT item calibration0 aCAT item calibration aSan Diego1 aHsu, Y1 aThompson, T D1 aChen, W-H uhttp://mail.iacat.org/content/cat-item-calibration00482nas a2200097 4500008004100000245011200041210006900153260001800222100001900240856012500259 1998 eng d00aCAT Item exposure control: New evaluation tools, alternate methods and integration into a total CAT program0 aCAT Item exposure control New evaluation tools alternate methods aSan Diego, CA1 aThomasson, G L uhttp://mail.iacat.org/content/cat-item-exposure-control-new-evaluation-tools-alternate-methods-and-integration-total-cat00522nas a2200109 4500008004100000245009000041210006900131260007000200100001500270700001300285856011400298 1998 eng d00aA comparative study of item exposure control methods in computerized adaptive testing0 acomparative study of item exposure control methods in computeriz aResearch Report Series 98-3, Iowa City: American College Testing.1 aChang, S-W1 aTwu, B-Y uhttp://mail.iacat.org/content/comparative-study-item-exposure-control-methods-computerized-adaptive-testing-000471nas a2200109 4500008004100000245009400041210006900135100001200204700001300216700001900229856011300248 1998 eng d00aA comparison of two methods of controlling item exposure in computerized adaptive testing0 acomparison of two methods of controlling item exposure in comput1 aTang, L1 aJiang, H1 aChang, Hua-Hua uhttp://mail.iacat.org/content/comparison-two-methods-controlling-item-exposure-computerized-adaptive-testing00449nas a2200121 4500008004100000245006600041210006600107260001400173100001600187700001300203700001600216856009500232 1998 eng d00aConstructing adaptive tests to parallel conventional programs0 aConstructing adaptive tests to parallel conventional programs aSan Diego1 aThompson, T1 aDavey, T1 aNering, M L uhttp://mail.iacat.org/content/constructing-adaptive-tests-parallel-conventional-programs-100463nas a2200121 4500008004100000245007300041210006900114260001500183100001600198700001300214700001600227856009800243 1998 eng d00aConstructing passage-based tests that parallel conventional programs0 aConstructing passagebased tests that parallel conventional progr aUrbana, IL1 aThompson, T1 aDavey, T1 aNering, M L uhttp://mail.iacat.org/content/constructing-passage-based-tests-parallel-conventional-programs00479nas a2200121 4500008004100000245008300041210006900124260001500193100001600208700001300224700001600237856010400253 1998 eng d00aA hybrid method for controlling item exposure in computerized adaptive testing0 ahybrid method for controlling item exposure in computerized adap aUrbana, IL1 aNering, M L1 aDavey, T1 aThompson, T uhttp://mail.iacat.org/content/hybrid-method-controlling-item-exposure-computerized-adaptive-testing00481nas a2200121 4500008004100000245008300041210006900124260001500193100001600208700001300224700001600237856010600253 1998 eng d00aA hybrid method for controlling item exposure in computerized adaptive testing0 ahybrid method for controlling item exposure in computerized adap aUrbana, IL1 aNering, M L1 aDavey, T1 aThompson, T uhttp://mail.iacat.org/content/hybrid-method-controlling-item-exposure-computerized-adaptive-testing-000599nas a2200133 4500008004100000245012500041210006900166260004600235100001400281700001600295700001600311700001400327856012400341 1998 eng d00aThe relationship between computer familiarity and performance on computer-based TOEFL test tasks (Research Report 98-08)0 arelationship between computer familiarity and performance on com aPrinceton NJ: Educational Testing Service1 aTaylor, C1 aJamieson, J1 aEignor, D R1 aKirsch, I uhttp://mail.iacat.org/content/relationship-between-computer-familiarity-and-performance-computer-based-toefl-test-tasks00494nas a2200097 4500008004100000245013400041210006900175260001500244100001500259856012200274 1998 eng d00aSome item response theory to provide scale scores based on linear combinations of testlet scores, for computerized adaptive tests0 aSome item response theory to provide scale scores based on linea aUrbana, IL1 aThissen, D uhttp://mail.iacat.org/content/some-item-response-theory-provide-scale-scores-based-linear-combinations-testlet-scores00423nas a2200109 4500008004100000245006400041210006400105260001500169100002000184700001900204856009000223 1998 eng d00aSome reliability estimators for computerized adaptive tests0 aSome reliability estimators for computerized adaptive tests aUrbana, IL1 aNicewander, W A1 aThomasson, G L uhttp://mail.iacat.org/content/some-reliability-estimators-computerized-adaptive-tests00396nas a2200145 4500008004100000245003300041210003300074300001200107490000700119100001700126700001500143700001600158700001600174856006000190 1997 eng d00aAdapting to adaptive testing0 aAdapting to adaptive testing a171-1850 v501 aOverton, R C1 aHarms, H J1 aTaylor, L R1 aZickar, M J uhttp://mail.iacat.org/content/adapting-adaptive-testing00485nas a2200121 4500008004100000245008900041210006900130300000900199490000700208100001800215700001800233856011200251 1997 eng d00aDiagnostic adaptive testing: Effects of remedial instruction as empirical validation0 aDiagnostic adaptive testing Effects of remedial instruction as e a3-200 v341 aTatsuoka, K K1 aTatsuoka, M M uhttp://mail.iacat.org/content/diagnostic-adaptive-testing-effects-remedial-instruction-empirical-validation00461nas a2200097 4500008004100000245009900041210006900140260001500209100001900224856012000243 1997 eng d00aThe goal of equity within and between computerized adaptive tests and paper and pencil forms. 0 agoal of equity within and between computerized adaptive tests an aChicago IL1 aThomasson, G L uhttp://mail.iacat.org/content/goal-equity-within-and-between-computerized-adaptive-tests-and-paper-and-pencil-forms00471nas a2200121 4500008004100000245006900041210006900110260002500179100001700204700001800221700001400239856009600253 1997 eng d00aIdentifying similar item content clusters on multiple test forms0 aIdentifying similar item content clusters on multiple test forms aGatlinburg, TN, June1 aReckase, M D1 aThompson, T D1 aNering, M uhttp://mail.iacat.org/content/identifying-similar-item-content-clusters-multiple-test-forms00427nas a2200121 4500008004100000245005900041210005900100260001800159100001300177700001400190700001600204856008500220 1997 eng d00aRealistic simulation procedures for item response data0 aRealistic simulation procedures for item response data aGatlinburg TN1 aDavey, T1 aNering, M1 aThompson, T uhttp://mail.iacat.org/content/realistic-simulation-procedures-item-response-data00385nas a2200121 4500008004100000245004400041210004400085260001800129100001400147700001800161700001300179856007100192 1997 eng d00aSimulation of realistic ability vectors0 aSimulation of realistic ability vectors aGatlinburg TN1 aNering, M1 aThompson, T D1 aDavey, T uhttp://mail.iacat.org/content/simulation-realistic-ability-vectors00562nas a2200121 4500008004100000245011900041210006900160260002100229653003400250653001900284100001400303856012300317 1996 eng d00aA comparison of the traditional maximum information method and the global information method in CAT item selection0 acomparison of the traditional maximum information method and the aNew York, NY USA10acomputerized adaptive testing10aitem selection1 aTang, K L uhttp://mail.iacat.org/content/comparison-traditional-maximum-information-method-and-global-information-method-cat-item00416nas a2200109 4500008004100000245006600041210006600107260001300173100001300186700001400199856009300213 1996 eng d00aConstructing adaptive tests to parallel conventional programs0 aConstructing adaptive tests to parallel conventional programs aNew York1 aDavey, T1 aThomas, L uhttp://mail.iacat.org/content/constructing-adaptive-tests-parallel-conventional-programs00506nas a2200133 4500008003900000245008900039210006900128300001200197490000700209100001300216700001600229700001700245856011000262 1995 d00aEffect of Rasch calibration on ability and DIF estimation in computer-adaptive tests0 aEffect of Rasch calibration on ability and DIF estimation in com a341-3630 v321 aZwick, R1 aThayer, D T1 aWingersky, M uhttp://mail.iacat.org/content/effect-rasch-calibration-ability-and-dif-estimation-computer-adaptive-tests00422nas a2200097 4500008004100000245007500041210006900116260001900185100001900204856010100223 1995 eng d00aNew item exposure control algorithms for computerized adaptive testing0 aNew item exposure control algorithms for computerized adaptive t aMinneapolis MN1 aThomasson, G L uhttp://mail.iacat.org/content/new-item-exposure-control-algorithms-computerized-adaptive-testing00507nas a2200109 4500008004100000245009300041210006900134260005300203100001300256700001500269856011300284 1995 eng d00aUsing simulation to select an adaptive testing strategy: An item bank evaluation program0 aUsing simulation to select an adaptive testing strategy An item  aUnpublished manuscript, University of Pittsburgh1 aHsu, T C1 aTseng, F L uhttp://mail.iacat.org/content/using-simulation-select-adaptive-testing-strategy-item-bank-evaluation-program00568nas a2200121 4500008004100000245011900041210006900160260004700229100001300276700001600289700001700305856012400322 1994 eng d00aDIF analysis for pretest items in computer-adaptive testing (Educational Testing Service Research Rep No RR 94-33)0 aDIF analysis for pretest items in computeradaptive testing Educa aPrinceton NJ: Educational Testing Service.1 aZwick, R1 aThayer, D T1 aWingersky, M uhttp://mail.iacat.org/content/dif-analysis-pretest-items-computer-adaptive-testing-educational-testing-service-research00549nas a2200133 4500008004500000245010900045210006900154300001200223490000700235100001300242700001600255700001700271856012700288 1994 Engldsh 00aA Simulation Study of Methods for Assessing Differential Item Functioning in Computerized Adaptive Tests0 aSimulation Study of Methods for Assessing Differential Item Func a121-1400 v181 aZwick, R1 aThayer, D T1 aWingersky, M uhttp://mail.iacat.org/content/simulation-study-methods-assessing-differential-item-functioning-computerized-adaptive-tests00606nas a2200121 4500008004100000245016000041210006900201260004700270100001300317700001400330700001700344856012300361 1993 eng d00aA simulation study of methods for assessing differential item functioning in computer-adaptive tests (Educational Testing Service Research Rep No RR 93-11)0 asimulation study of methods for assessing differential item func aPrinceton NJ: Educational Testing Service.1 aZwick, R1 aThayer, D1 aWingersky, M uhttp://mail.iacat.org/content/simulation-study-methods-assessing-differential-item-functioning-computer-adaptive-tests00456nam a2200097 4500008004100000245008000041210006900121260005900190100001300249856009600262 1992 eng d00aA comparison of methods for adaptive estimation of a multidimensional trait0 acomparison of methods for adaptive estimation of a multidimensio aUnpublished doctoral dissertation, Columbia University1 aTam, S S uhttp://mail.iacat.org/content/comparison-methods-adaptive-estimation-multidimensional-trait00482nas a2200121 4500008004100000245008100041210006900122300000900191490000700200653003400207100002100241856009800262 1992 eng d00aThe development and evaluation of a system for computerized adaptive testing0 adevelopment and evaluation of a system for computerized adaptive a43040 v5210acomputerized adaptive testing1 aTorre Sanchez, R uhttp://mail.iacat.org/content/development-and-evaluation-system-computerized-adaptive-testing00502nas a2200109 4500008004100000245009900041210006900140260003300209100001500242700001800257856011700275 1991 eng d00aConstruction and validation of the SON-R 5-17, the Snijders-Oomen non-verbal intelligence test0 aConstruction and validation of the SONR 517 the SnijdersOomen no aGroningen: Wolters-Noordhoff1 aLaros, J A1 aTellegen, P J uhttp://mail.iacat.org/content/construction-and-validation-son-r-5-17-snijders-oomen-non-verbal-intelligence-test00386nas a2200133 4500008004100000245004600041210003800087300001200125490000700137100001600144700001100160700001500171856006600186 1991 eng d00aOn the reliability of testlet-based tests0 areliability of testletbased tests a237-2470 v281 aSireci, S G1 aWainer1 aThissen, D uhttp://mail.iacat.org/content/reliability-testlet-based-tests00516nam a2200169 4500008003900000245005100039210004700090260002600137100001100163700001600174700001600190700001400206700001700220700001700237700001500254856007700269 1990 d00aComputerized adaptive testing: A primer (Eds.)0 aComputerized adaptive testing A primer Eds aHillsdale NJ: Erlbaum1 aWainer1 aDorans, N J1 aFlaugher, R1 aGreen, BF1 aMislevy, R J1 aSteinberg, L1 aThissen, D uhttp://mail.iacat.org/content/computerized-adaptive-testing-primer-eds-200596nas a2200109 4500008004100000245007600041210006900117260017000186100001700356700001500373856009800388 1990 eng d00aCreating adaptive tests of musical ability with limited-size item pools0 aCreating adaptive tests of musical ability with limitedsize item aD. Dalton (Ed.), ADCIS 32nd International Conference Proceedings (pp. 105-112). Columbus OH: Association for the Development of Computer-Based Instructional Systems.1 aVispoel, W T1 aTwing, J S uhttp://mail.iacat.org/content/creating-adaptive-tests-musical-ability-limited-size-item-pools00484nas a2200157 4500008004100000245002200041210002200063260009900085100001100184700001600195700001400211700001700225700001700242700001500259856005200274 1990 eng d00aFuture challenges0 aFuture challenges aH. Wainer (Ed.), Computerized adaptive testing: A primer (pp. 233-272). Hillsdale NJ: Erlbaum.1 aWainer1 aDorans, N J1 aGreen, BF1 aMislevy, R J1 aSteinberg, L1 aThissen, D uhttp://mail.iacat.org/content/future-challenges00495nas a2200097 4500008004100000245004200041210004200083260018500125100001500310856007200325 1990 eng d00aReliability and measurement precision0 aReliability and measurement precision aH. Wainer, N. J. Dorans, R. Flaugher, B. F. Green, R. J. Mislevy, L. Steinberg, and D. Thissen (Eds.), Computerized adaptive testing: A primer (pp. 161-186). Hillsdale NJ: Erlbaum.1 aThissen, D uhttp://mail.iacat.org/content/reliability-and-measurement-precision00383nas a2200109 4500008003900000245006100039210006100100300001000161490000700171100001200178856008300190 1990 d00aSequential item response models with an ordered response0 aSequential item response models with an ordered response a39-550 v431 aTutz, G uhttp://mail.iacat.org/content/sequential-item-response-models-ordered-response00381nas a2200109 4500008004100000245002300041210002300064260009900087100001500186700001700201856005300218 1990 eng d00aTesting algorithms0 aTesting algorithms aH. Wainer (Ed.), Computerized adaptive testing: A primer (pp. 103-135). Hillsdale NJ: Erlbaum.1 aThissen, D1 aMislevy, R J uhttp://mail.iacat.org/content/testing-algorithms00553nas a2200109 4500008004100000245011200041210006900153260006900222100001400291700001600305856012200321 1990 eng d00aUtility of predicting starting abilities in sequential computer-based adaptive tests (Research Report 90-1)0 aUtility of predicting starting abilities in sequential computerb aBaltimore MD: Johns Hopkins University, Department of Psychology1 aGreen, BF1 aThomas, T J uhttp://mail.iacat.org/content/utility-predicting-starting-abilities-sequential-computer-based-adaptive-tests-research00374nas a2200121 4500008004100000245001300041210001300054260009900067100001700166700001500183700001100198856004300209 1990 eng d00aValidity0 aValidity aH. Wainer (Ed.), Computerized adaptive testing: A primer (pp. 187-231). Hillsdale NJ: Erlbaum.1 aSteinberg, L1 aThissen, D1 aWainer uhttp://mail.iacat.org/content/validity00590nas a2200109 4500008004100000245012200041210006900163260009400232100001600326700001400342856012400356 1989 eng d00aItem-presentation controls for computerized adaptive testing: Content-balancing versus min-CAT (Research Report 89-1)0 aItempresentation controls for computerized adaptive testing Cont aBaltimore MD: Johns Hopkins University, Department of Psychology, Psychometric Laboratory1 aThomas, T J1 aGreen, BF uhttp://mail.iacat.org/content/item-presentation-controls-computerized-adaptive-testing-content-balancing-versus-min-cat00483nas a2200133 4500008004100000245007600041210006900117300001200186490000700198100001500205700001700220700001600237856009600253 1989 eng d00aTrace lines for testlets: A use of multiple-categorical-response models0 aTrace lines for testlets A use of multiplecategoricalresponse mo a247-2600 v261 aThissen, D1 aSteinberg, L1 aMooney, J A uhttp://mail.iacat.org/content/trace-lines-testlets-use-multiple-categorical-response-models00433nas a2200097 4500008004100000245005700041210005500098260007900153100001800232856008500250 1986 eng d00aA cognitive error diagnostic adaptive testing system0 acognitive error diagnostic adaptive testing system athe 28th ADCIS International Conference Proceedings. Washington DC: ADCIS.1 aTatsuoka, K K uhttp://mail.iacat.org/content/cognitive-error-diagnostic-adaptive-testing-system00457nas a2200109 4500008004100000245008500041210006900126300001200195490000700207100002400214856010900238 1986 eng d00aSome applications of optimization algorithms in test design and adaptive testing0 aSome applications of optimization algorithms in test design and  a381-3890 v101 aTheunissen, T J J M uhttp://mail.iacat.org/content/some-applications-optimization-algorithms-test-design-and-adaptive-testing00463nas a2200109 4500008004500000245008500045210006900130300001200199490000700211100002400218856011100242 1986 Engldsh 00aSome Applications of Optimization Algorithms in Test Design and Adaptive Testing0 aSome Applications of Optimization Algorithms in Test Design and  a381-3890 v101 aTheunissen, T J J M uhttp://mail.iacat.org/content/some-applications-optimization-algorithms-test-design-and-adaptive-testing-000398nas a2200109 4500008004100000245006200041210006100103300001000164490000700174100001800181856008900199 1986 eng d00aUsing microcomputer-based assessment in career counseling0 aUsing microcomputerbased assessment in career counseling a50-560 v231 aThompson, D L uhttp://mail.iacat.org/content/using-microcomputer-based-assessment-career-counseling00406nas a2200121 4500008003900000245005800039210005800097300001000155490000700165100001500172700001300187856008400200 1985 d00aLatent structure and item sampling models for testing0 aLatent structure and item sampling models for testing a19-480 v361 aTraub, R E1 aLam, Y R uhttp://mail.iacat.org/content/latent-structure-and-item-sampling-models-testing00423nas a2200097 4500008004100000245005500041210005100096260007800147100001700225856008300242 1984 eng d00aAdaptive testing (Final Report Contract OPM-29-80)0 aAdaptive testing Final Report Contract OPM2980 aUrbana-Champaign IL: University of Illinois, Aviation Research Laboratory1 aTrollip, S R uhttp://mail.iacat.org/content/adaptive-testing-final-report-contract-opm-29-8000550nas a2200121 4500008004100000245008200041210006900123260008300192100001800275700001800293700001500311856010200326 1984 eng d00aApplication of adaptive testing to a fraction test (Research Report 84-3-NIE)0 aApplication of adaptive testing to a fraction test Research Repo aUrbana IL: Univerity of Illinois, Computer-Based Education Research Laboratory1 aTatsuoka, K K1 aTatsuoka, M M1 aBaillie, R uhttp://mail.iacat.org/content/application-adaptive-testing-fraction-test-research-report-84-3-nie00578nas a2200109 4500008004100000245008100041210006900122260014700191100001600338700001400354856010000368 1983 eng d00aThe person response curve: Fit of individuals to item response theory models0 aperson response curve Fit of individuals to item response theory aD. J. Weiss (Ed.), New horizons in testing: Latent trait test theory and computerized adaptive testing (pp. 83-108). New York: Academic Press.1 aTrabin, T E1 aWeiss, DJ uhttp://mail.iacat.org/content/person-response-curve-fit-individuals-item-response-theory-models00443nam a2200109 4500008004100000245006600041210006200107260004200169100001800211700001500229856008900244 1983 eng d00aThe stochastic modeling of elementary psychological processes0 astochastic modeling of elementary psychological processes aCambridge: Cambridge University Press1 aTownsend, J T1 aAshby, G F uhttp://mail.iacat.org/content/stochastic-modeling-elementary-psychological-processes00405nas a2200109 4500008004100000245004900041210004600090260004800136100001700184700001800201856007600219 1982 eng d00aAn adaptive Private Pilot Certification Exam0 aadaptive Private Pilot Certification Exam aAviation, Space, and Environmental Medicine1 aTrollip, S R1 aAnderson, R I uhttp://mail.iacat.org/content/adaptive-private-pilot-certification-exam00586nas a2200109 4500008004100000245008500041210006900126260013900195100001800334700001400352856011000366 1980 eng d00aCriterion-related validity of adaptive testing strategies (Research Report 80-3)0 aCriterionrelated validity of adaptive testing strategies Researc aMinneapolis: University of Minnesota, Department of Psychology, Psychometric Methods Program, Computerized Adaptive Testing Laboratory1 aThompson, J G1 aWeiss, DJ uhttp://mail.iacat.org/content/criterion-related-validity-adaptive-testing-strategies-research-report-80-300606nas a2200109 4500008004100000245014400041210006900185260008500254100001600339700001700355856012400372 1979 eng d00aThe danger of relying solely on diagnostic adaptive testing when prior and subsequent instructional methods are different (CERL Report E-5)0 adanger of relying solely on diagnostic adaptive testing when pri aUrbana IL: Univeristy of Illinois, Computer-Based Education Research Laboratory.1 aTatsuoka, K1 aBirenbaum, M uhttp://mail.iacat.org/content/danger-relying-solely-diagnostic-adaptive-testing-when-prior-and-subsequent-instructional00377nas a2200109 4500008004100000245005600041210005600097300001000153490000600163100001600169856008200185 1975 eng d00aSequential testing for instructional classification0 aSequential testing for instructional classification a92-990 v11 aThomas, D B uhttp://mail.iacat.org/content/sequential-testing-instructional-classification00741nas a2200145 4500008004100000245018400041210006900225260010800294100001600402700001700418700001500435700001100450700001200461856012200473 1974 eng d00aComputer-based adaptive testing models for the Air Force technical training environment: Phase I: Development of a computerized measurement system for Air Force technical Training0 aComputerbased adaptive testing models for the Air Force technica aJSAS Catalogue of Selected Documents in Psychology, 5, 1-86 (MS No. 882). AFHRL Technical Report 74-48.1 aHansen, D N1 aJohnson, B F1 aFagan, R L1 aTan, P1 aDick, W uhttp://mail.iacat.org/content/computer-based-adaptive-testing-models-air-force-technical-training-environment-phase-i00682nam a2200121 4500008004100000024006400041050003900105245014600144210006900290260006400359100001600423856012100439 1973 eng d aDissertation abstracts International, 1974, 34, 4010A-4011A aUniversity Microfims No.73-31, 53400aA multivariate experimental study of three computerized adaptive testing models for the measurement of attitude toward teaching effectiveness0 amultivariate experimental study of three computerized adaptive t aUnpublished doctoral dissertation, Florida State University1 aTam, P T -K uhttp://mail.iacat.org/content/multivariate-experimental-study-three-computerized-adaptive-testing-models-measurement00371nas a2200121 4500008004100000245004400041210004400085300001200129490000700141100001900148700001400167856006800181 1965 eng d00aAdaptive testing in an older population0 aAdaptive testing in an older population a193-1980 v601 aGreenwood, D I1 aTaylor, C uhttp://mail.iacat.org/content/adaptive-testing-older-population00542nas a2200121 4500008004100000245008400041210006900125260006900194100001700263700001600280700001800296856010600314 1960 eng d00aConstruction of an experimental sequential item test (Research Memorandum 60-1)0 aConstruction of an experimental sequential item test Research Me aWashington DC: Personnel Research Branch, Department of the Army1 aBayroff, A G1 aThomas, J J1 aAnderson, A A uhttp://mail.iacat.org/content/construction-experimental-sequential-item-test-research-memorandum-60-1