@article {2071, title = {Item Selection and Hypothesis Testing for the Adaptive Measurement of Change}, journal = {Applied Psychological Measurement}, volume = {34}, year = {2010}, pages = {238-254}, abstract = {

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.\ 

}, keywords = {change, computerized adaptive testing, individual change, Kullback{\textendash}Leibler information, likelihood ratio, measuring change}, doi = {10.1177/0146621609344844}, author = {Finkelman, M. D. and Weiss, D. J. and Kim-Kang, G.} } @inbook {1766, title = {Item selection and hypothesis testing for the adaptive measurement of change}, year = {2009}, note = {{PDF File, 228 KB}}, address = {D. J. Weiss (Ed.), Proceedings of the 2009 GMAC Conference on Computerized Adaptive Testing.}, author = {Finkelman, M. and Weiss, D. J. and Kim-Kang, G.} } @article {590, title = {Adaptive measurement of individual change}, journal = {Zeitschrift f{\"u}r Psychologie / Journal of Psychology}, volume = {216}, year = {2008}, note = {{PDF file, 568 KB}}, pages = {49-58}, doi = {10.1027/0044-3409.216.1.49}, author = {Kim-Kang, G. and Weiss, D. J.} } @inbook {1806, title = {Comparison of computerized adaptive testing and classical methods for measuring individual change}, year = {2007}, note = {{PDF file, 347 KB}}, address = {D. J. Weiss (Ed.). Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing.}, author = {Kim-Kang, G. and Weiss, D. J.} }