02175nas a2200301   4500008004100000020001400041245010200055210006900157250001500226300001200241490000700253520109000260653001501350653001501365653002101380653004801401653002401449653002801473653006201501653005701563653001101620653002701631653004601658100001701704700001201721700001401733856012601747       2008                        eng d  a1138-741600aRotating item banks versus restriction of maximum exposure rates in computerized adaptive testing0 aRotating item banks versus restriction of maximum exposure rates  a2008/11/08  a618-6250 v113 a<p>If examinees were to know, beforehand, part of the content of a computerized adaptive test, their estimated trait levels would then have a marked positive bias. One of the strategies to avoid this consists of dividing a large item bank into several sub-banks and rotating the sub-bank employed (Ariel, Veldkamp &amp; van der Linden, 2004). This strategy permits substantial improvements in exposure control at little cost to measurement accuracy, However, we do not know whether this option provides better results than using the master bank with greater restriction in the maximum exposure rates (Sympson &amp; Hetter, 1985). In order to investigate this issue, we worked with several simulated banks of 2100 items, comparing them, for RMSE and overlap rate, with the same banks divided in two, three... up to seven sub-banks. By means of extensive manipulation of the maximum exposure rate in each bank, we found that the option of rotating banks slightly outperformed the option of restricting maximum exposure rate of the master bank by means of the Sympson-Hetter method.</p>
10a*Character10a*Databases10a*Software Design10aAptitude Tests/*statistics & numerical data10aBias (Epidemiology)10aComputing Methodologies10aDiagnosis, Computer-Assisted/*statistics & numerical data10aEducational Measurement/*statistics & numerical data10aHumans10aMathematical Computing10aPsychometrics/statistics & numerical data1 aBarrada, J R1 aOlea, J1 aAbad, F J  uhttp://mail.iacat.org/content/rotating-item-banks-versus-restriction-maximum-exposure-rates-computerized-adaptive-testing03120nas a2200277   4500008004100000020002200041245010900063210006900172250001500241260000800256300001200264490000700276520221700283653002902500653002002529653002502549653002102574653001502595653002802610653001102638653002502649100001702674700001502691700001202706856012402718       2006                        eng d  a0214-9915 (Print)00aMaximum information stratification method for controlling item exposure in computerized adaptive testing0 aMaximum information stratification method for controlling item e  a2007/02/14  cFeb  a156-1590 v183 aThe proposal for increasing the security in Computerized Adaptive Tests that has received most attention in recent years is the a-stratified method (AS - Chang and Ying, 1999): at the beginning of the test only items with low discrimination parameters (a) can be administered, with the values of the a parameters increasing as the test goes on. With this method, distribution of the exposure rates of the items is less skewed, while efficiency is maintained in trait-level estimation. The pseudo-guessing parameter (c), present in the three-parameter logistic model, is considered irrelevant, and is not used in the AS method. The Maximum Information Stratified (MIS) model incorporates the c parameter in the stratification of the bank and in the item-selection rule, improving accuracy by comparison with the AS, for item banks with a and b parameters correlated and uncorrelated. For both kinds of banks, the blocking b methods (Chang, Qian and Ying, 2001) improve the security of the item bank.Método de estratificación por máxima información para el control de la exposición en tests adaptativos informatizados. La propuesta para aumentar la seguridad en los tests adaptativos informatizados que ha recibido más atención en los últimos años ha sido el método a-estratificado (AE - Chang y Ying, 1999): en los momentos iniciales del test sólo pueden administrarse ítems con bajos parámetros de discriminación (a), incrementándose los valores del parámetro a admisibles según avanza el test. Con este método la distribución de las tasas de exposición de los ítems es más equilibrada, manteniendo una adecuada precisión en la medida. El parámetro de pseudoadivinación (c), presente en el modelo logístico de tres parámetros, se supone irrelevante y no se incorpora en el AE. El método de Estratificación por Máxima Información (EMI) incorpora el parámetro c a la estratificación del banco y a la regla de selección de ítems, mejorando la precisión en comparación con AE, tanto para bancos donde los parámetros a y b correlacionan como para bancos donde no. Para ambos tipos de bancos, los métodos de bloqueo de b (Chang, Qian y Ying, 2001) mejoran la seguridad del banco.10a*Artificial Intelligence10a*Microcomputers10a*Psychological Tests10a*Software Design10aAlgorithms10aChi-Square Distribution10aHumans10aLikelihood Functions1 aBarrada, J R1 aMazuela, P1 aOlea, J  uhttp://mail.iacat.org/content/maximum-information-stratification-method-controlling-item-exposure-computerized-adaptive01669nas a2200229   4500008004100000245005500041210005300096300000800149490000700157520102900164653002101193653001201214653003001226653001801256653000901274100001701283700001201300700001501312700001601327700001401343856008201357       2004                        eng d00aAssisted self-adapted testing: A comparative study0 aAssisted selfadapted testing A comparative study  a2-90 v203 aA new type of self-adapted test (S-AT), called Assisted Self-Adapted Test (AS-AT), is presented. It differs from an ordinary S-AT in that prior to selecting the difficulty category, the computer advises examinees on their best difficulty category choice, based on their previous performance. Three tests (computerized adaptive test, AS-AT, and S-AT) were compared regarding both their psychometric (precision and efficiency) and psychological (anxiety) characteristics. Tests were applied in an actual assessment situation, in which test scores determined 20% of term grades. A sample of 173 high school students participated. Neither differences in posttest anxiety nor ability were obtained. Concerning precision, AS-AT was as precise as CAT, and both revealed more precision than S-AT. It was concluded that AS-AT acted as a CAT concerning precision. Some hints, but not conclusive support, of the psychological similarity between AS-AT and S-AT was also found. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)10aAdaptive Testing10aAnxiety10aComputer Assisted Testing10aPsychometrics10aTest1 aHontangas, P1 aOlea, J1 aPonsoda, V1 aRevuelta, J1 aWise, S L  uhttp://mail.iacat.org/content/assisted-self-adapted-testing-comparative-study