00532nas a2200145 4500008004500000245013100045210006900176300001000245490000600255100001900261700001100280700001600291700001500307856006400322 2014 Engldsh 00aCognitive Diagnostic Models and Computerized Adaptive Testing: Two New Item-Selection Methods That Incorporate Response Times0 aCognitive Diagnostic Models and Computerized Adaptive Testing Tw a59-760 v21 aFinkelman, M D1 aKim, W1 aWeissman, A1 aCook, R.J. uhttp://www.iacat.org/jcat/index.php/jcat/article/view/43/2100516nas a2200121 4500008004500000245011300045210006900158300001000227490000600237100001300243700001900256856011900275 2013 Engldsh 00aA Comparison of Computerized Classification Testing and Computerized Adaptive Testing in Clinical Psychology0 aComparison of Computerized Classification Testing and Computeriz a19-370 v11 aSmits, N1 aFinkelman, M D uhttp://iacat.org/content/comparison-computerized-classification-testing-and-computerized-adaptive-testing-clinical00529nas a2200145 4500008004100000245009500041210006900136300001000205490000600215100001900221700001100240700001000251700001300261856010900274 2013 en d00aItem Ordering in Stochastically Curtailed Health Questionnaires With an Observable Outcome0 aItem Ordering in Stochastically Curtailed Health Questionnaires a38-660 v11 aFinkelman, M D1 aKim, W1 aHe, Y1 aLai, A M uhttp://iacat.org/content/item-ordering-stochastically-curtailed-health-questionnaires-observable-outcome01507nas a2200217 4500008004100000245008100041210006900122300001200191490000700203520078900210653001100999653003401010653002201044653003501066653002101101653002101122100001901143700001401162700001601176856009701192 2010 eng d00aItem Selection and Hypothesis Testing for the Adaptive Measurement of Change0 aItem Selection and Hypothesis Testing for the Adaptive Measureme a238-2540 v343 a
Assessing individual change is an important topic in both psychological and educational measurement. An adaptive measurement of change (AMC) method had previously been shown to exhibit greater efficiency in detecting change than conventional nonadaptive methods. However, little work had been done to compare different procedures within the AMC framework. This study introduced a new item selection criterion and two new test statistics for detecting change with AMC that were specifically designed for the paradigm of hypothesis testing. In two simulation sets, the new methods for detecting significant change improved on existing procedures by demonstrating better adherence to Type I error rates and substantially better power for detecting relatively small change.
10achange10acomputerized adaptive testing10aindividual change10aKullback–Leibler information10alikelihood ratio10ameasuring change1 aFinkelman, M D1 aWeiss, DJ1 aKim-Kang, G uhttp://iacat.org/content/item-selection-and-hypothesis-testing-adaptive-measurement-change-000438nas a2200109 4500008004100000245008600041210006900127300000800196490000700204100001900211856009800230 2008 eng d00aOn using stochastic curtailment to shorten the SPRT in sequential mastery testing0 ausing stochastic curtailment to shorten the SPRT in sequential m a4420 v331 aFinkelman, M D uhttp://iacat.org/content/using-stochastic-curtailment-shorten-sprt-sequential-mastery-testing