01833nas a2200229   4500008004100000020004100041245010800082210006900190250001500259300000900274490000600283520101700289653001601306653001501322653005701337653001101394653003001405653001801435100001401453700001401467856012201481       2008                        eng d  a1529-7713 (Print)1529-7713 (Linking)00aStrategies for controlling item exposure in computerized adaptive testing with the partial credit model0 aStrategies for controlling item exposure in computerized adaptiv  a2008/01/09  a1-170 v93 aExposure control research with polytomous item pools has determined that randomization procedures can be very effective for controlling test security in computerized adaptive testing (CAT). The current study investigated the performance of four procedures for controlling item exposure in a CAT under the partial credit model. In addition to a no exposure control baseline condition, the Kingsbury-Zara, modified-within-.10-logits, Sympson-Hetter, and conditional Sympson-Hetter procedures were implemented to control exposure rates. The Kingsbury-Zara and the modified-within-.10-logits procedures were implemented with 3 and 6 item candidate conditions. The results show that the Kingsbury-Zara and modified-within-.10-logits procedures with 6 item candidates performed as well as the conditional Sympson-Hetter in terms of exposure rates, overlap rates, and pool utilization. These two procedures are strongly recommended for use with partial credit CATs due to their simplicity and strength of their results.10a*Algorithms10a*Computers10a*Educational Measurement/statistics & numerical data10aHumans10aQuestionnaires/*standards10aUnited States1 aDavis, LL1 aDodd, B G  uhttp://mail.iacat.org/content/strategies-controlling-item-exposure-computerized-adaptive-testing-partial-credit-model00536nas a2200109   4500008004100000245010800041210006900149260005800218100001400276700001200290856012400302       2005                        eng d00aStrategies for controlling item exposure in computerized adaptive testing with the partial credit model0 aStrategies for controlling item exposure in computerized adaptiv  aPearson Educational Measurement Research Report 05-011 aDavis, LL1 aDodd, B  uhttp://mail.iacat.org/content/strategies-controlling-item-exposure-computerized-adaptive-testing-partial-credit-model-001896nas a2200181   4500008004100000020002200041245012000063210006900183260002600252300001200278490000700290520119300297653003401490653003701524653001801561100001401579856012101593       2004                        eng d  a0146-6216 (Print)00aStrategies for controlling item exposure in computerized adaptive testing with the generalized partial credit model0 aStrategies for controlling item exposure in computerized adaptiv  bSage Publications: US  a165-1850 v283 aChoosing a strategy for controlling item exposure has become an integral part of test development for computerized adaptive testing (CAT). This study investigated the performance of six procedures for controlling item exposure in a series of simulated CATs under the generalized partial credit model. In addition to a no-exposure control baseline condition, the randomesque, modified-within-.10-logits, Sympson-Hetter, conditional Sympson-Hetter, a-stratified with multiple-stratification, and enhanced a-stratified with multiple-stratification procedures were implemented to control exposure rates. Two variations of the randomesque and modified-within-.10-logits procedures were examined, which varied the size of the item group from which the next item to be administered was randomly selected. The results indicate that although the conditional Sympson-Hetter provides somewhat lower maximum exposure rates, the randomesque and modified-within-.10-logits procedures with the six-item group variation have great utility for controlling overlap rates and increasing pool utilization and should be given further consideration. (PsycINFO Database Record (c) 2007 APA, all rights reserved)10acomputerized adaptive testing10ageneralized partial credit model10aitem exposure1 aDavis, LL  uhttp://mail.iacat.org/content/strategies-controlling-item-exposure-computerized-adaptive-testing-generalized-partial00554nas a2200133   4500008004100000245011800041210006900159260001500228100001400243700001400257700001400271700001400285856012100299       2003                        eng d00aA comparison of item exposure control procedures using a CAT system based on the generalized partial credit model0 acomparison of item exposure control procedures using a CAT syste  aChicago IL1 aBurt, W M1 aKim, S -J1 aDavis, LL1 aDodd, B G  uhttp://mail.iacat.org/content/comparison-item-exposure-control-procedures-using-cat-system-based-generalized-partial01817nas a2200253   4500008004100000245013100041210006900172300001000241490000600251520095700257653001501214653002901229653002501258653001501283653002001298653001101318653003101329100001401360700001601374700001401390700001401404700002101418856012401439       2003                        eng d00aAn examination of exposure control and content balancing restrictions on item selection in CATs using the partial credit model0 aexamination of exposure control and content balancing restrictio  a24-420 v43 aThe purpose of the present investigation was to systematically examine the effectiveness of the Sympson-Hetter technique and rotated content balancing relative to no exposure control and no content rotation conditions in a computerized adaptive testing system (CAT) based on the partial credit model. A series of simulated fixed and variable length CATs were run using two data sets generated to multiple content areas for three sizes of item pools. The 2 (exposure control) X 2 (content rotation) X 2 (test length) X 3 (item pool size) X 2 (data sets) yielded a total of 48 conditions. Results show that while both procedures can be used with no deleterious effect on measurement precision, the gains in exposure control, pool utilization, and item overlap appear quite modest. Difficulties involved with setting the exposure control parameters in small item pools make questionable the utility of the Sympson-Hetter technique with similar item pools.10a*Computers10a*Educational Measurement10a*Models, Theoretical10aAutomation10aDecision Making10aHumans10aReproducibility of Results1 aDavis, LL1 aPastor, D A1 aDodd, B G1 aChiang, C1 aFitzpatrick, S J  uhttp://mail.iacat.org/content/examination-exposure-control-and-content-balancing-restrictions-item-selection-cats-using01748nas a2200217   4500008004100000245008700041210006900128300001200197490000700209520100200216653002101218653003001239653002601269653002501295653002001320653001401340653004901354100001401403700001401417856009901431       2003                        eng d00aItem exposure constraints for testlets in the verbal reasoning section of the MCAT0 aItem exposure constraints for testlets in the verbal reasoning s  a335-3560 v273 aThe current study examined item exposure control procedures for testlet scored reading passages in the Verbal Reasoning section of the Medical College Admission Test with four computerized adaptive testing (CAT) systems using the partial credit model. The first system used a traditional CAT using maximum information item selection. The second used random item selection to provide a baseline for optimal exposure rates. The third used a variation of Lunz and Stahl's randomization procedure. The fourth used Luecht and Nungester's computerized adaptive sequential testing (CAST) system. A series of simulated fixed-length CATs was run to determine the optimal item length selection procedure. Results indicated that both the randomization procedure and CAST performed well in terms of exposure control and measurement precision, with the CAST system providing the best overall solution when all variables were taken into consideration. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)10aAdaptive Testing10aComputer Assisted Testing10aEntrance Examinations10aItem Response Theory10aRandom Sampling10aReasoning10aVerbal Ability computerized adaptive testing1 aDavis, LL1 aDodd, B G  uhttp://mail.iacat.org/content/item-exposure-constraints-testlets-verbal-reasoning-section-mcat00480nas a2200097   4500008004100000245012000041210006900161260001500230100001400245856012300259       2003                        eng d00aStrategies for controlling item exposure in computerized adaptive testing with the generalized partial credit model0 aStrategies for controlling item exposure in computerized adaptiv  aChicago IL1 aDavis, LL  uhttp://mail.iacat.org/content/strategies-controlling-item-exposure-computerized-adaptive-testing-generalized-partial-002968nas a2200121   4500008004100000245010900041210006900150300000800219490000700227520247100234100001402705856012702719       2003                        eng d00aStrategies for controlling item exposure in computerized adaptive testing with polytomously scored items0 aStrategies for controlling item exposure in computerized adaptiv  a4580 v643 aChoosing a strategy for controlling the exposure of items to examinees has become an integral part of test development for computerized adaptive testing (CAT). Item exposure can be controlled through the use of a variety of algorithms which modify the CAT item selection process. This may be done through a randomization, conditional selection, or stratification approach. The effectiveness of each procedure as well as the degree to which measurement precision is sacrificed has been extensively studied with dichotomously scored item pools. However, only recently have researchers begun to examine these procedures in polytomously scored item pools. The current study investigated the performance of six different exposure control mechanisms under three polytomous IRT models in terms of measurement precision, test security, and ease of implementation. The three models examined in the current study were the partial credit, generalized partial credit, and graded response models. In addition to a no exposure control baseline condition, the randomesque, within .10 logits, Sympson-Hetter, conditional Sympson-Hetter, a-Stratified, and enhanced a-Stratified procedures were implemented to control item exposure rates. The a-Stratified and enhanced a-Stratified procedures were not evaluated with the partial credit model. Two variations of the randomesque and within .10 logits procedures were also examined which varied the size of the item group from which the next item to be administered was randomly selected. The results of this study were remarkably similar for all three models and indicated that the randomesque and within .10 logits procedures, when implemented with the six item group variation, provide the best option for controlling exposure rates when impact to measurement precision and ease of implementation are considered. The three item group variations of the procedures were, however, ineffective in controlling exposure, overlap, and pool utilization rates to desired levels. The Sympson-Hetter and conditional Sympson-Hetter procedures were difficult and time consuming to implement, and while they did control exposure rates to the target level, their performance in terms of item overlap (for the Sympson-Hetter) and pool utilization were disappointing. The a-Stratified and enhanced a-Stratified procedures both turned in surprisingly poor performances across all variables. (PsycINFO Database Record (c) 2004 APA, all rights reserved).1 aDavis, LL  uhttp://mail.iacat.org/content/strategies-controlling-item-exposure-computerized-adaptive-testing-polytomously-scored-items00525nam a2200097   4500008004100000245010900041210006900150260006700219100001400286856012700300       2002                        eng d00aStrategies for controlling item exposure in computerized adaptive testing with polytomously scored items0 aStrategies for controlling item exposure in computerized adaptiv  aUnpublished doctoral dissertation, University of Texas, Austin1 aDavis, LL  uhttp://mail.iacat.org/content/strategies-controlling-item-exposure-computerized-adaptive-testing-polytomously-scored-ite-000552nas a2200109   4500008004100000245011200041210006900153260006800222100001400290700001400304856012400318       2001                        eng d00aAn examination of testlet scoring and item exposure constraints in the verbal reasoning section of the MCAT0 aexamination of testlet scoring and item exposure constraints in   aMCAT Monograph Series: Association of American Medical Colleges1 aDavis, LL1 aDodd, B G  uhttp://mail.iacat.org/content/examination-testlet-scoring-and-item-exposure-constraints-verbal-reasoning-section-mcat-000470nas a2200097   4500008004100000245011200041210006900153100001400222700001400236856012200250       2001                        eng d00aAn examination of testlet scoring and item exposure constraints in the Verbal Reasoning section of the MCAT0 aexamination of testlet scoring and item exposure constraints in 1 aDavis, LL1 aDodd, B G  uhttp://mail.iacat.org/content/examination-testlet-scoring-and-item-exposure-constraints-verbal-reasoning-section-mcat00610nas a2200145   4500008004100000245013100041210006900172260002000241100001400261700001600275700001400291700001400305700001900319856012600338       2000                        eng d00aAn examination of exposure control and content balancing restrictions on item selection in CATs using the partial credit model0 aexamination of exposure control and content balancing restrictio  aNew Orleans, LA1 aDavis, LL1 aPastor, D A1 aDodd, B G1 aChiang, C1 aFitzpatrick, S  uhttp://mail.iacat.org/content/examination-exposure-control-and-content-balancing-restrictions-item-selection-cats-using-0