TitleItem Selection and Hypothesis Testing for the Adaptive Measurement of Change
Publication TypeJournal Article
Year of Publication2010
AuthorsFinkelman, MD, Weiss, DJ, Kim-Kang, G
JournalApplied Psychological Measurement
Publication Languageeng
Keywordschange, computerized adaptive testing, individual change, KullbackÔÇôLeibler information, likelihood ratio, measuring change

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. 

Refereed DesignationRefereed