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Lin, Chuan-Ju; Chang, Hua-Hua – Educational and Psychological Measurement, 2019
For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized…
Descriptors: Test Items, Selection Criteria, Computer Assisted Testing, Adaptive Testing
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Lin, Chuan-Ju – Educational and Psychological Measurement, 2011
This study compares four item selection criteria for a two-category computerized classification testing: (1) Fisher information (FI), (2) Kullback-Leibler information (KLI), (3) weighted log-odds ratio (WLOR), and (4) mutual information (MI), with respect to the efficiency and accuracy of classification decision using the sequential probability…
Descriptors: Computer Assisted Testing, Adaptive Testing, Selection, Test Items
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Lin, Chuan-Ju – Journal of Technology, Learning, and Assessment, 2010
Assembling equivalent test forms with minimal test overlap across forms is important in ensuring test security. Chen and Lei (2009) suggested a exposure control technique to control test overlap-ordered item pooling on the fly based on the essence that test overlap rate--ordered item pooling for the first t examinees is a function of test overlap…
Descriptors: Test Length, Test Format, Evaluation Criteria, Psychometrics
Lin, Chuan-Ju – Journal of Technology, Learning, and Assessment, 2008
The automated assembly of alternate test forms for online delivery provides an alternative to computer-administered, fixed test forms, or computerized-adaptive tests when a testing program migrates from paper/pencil testing to computer-based testing. The weighted deviations model (WDM) heuristic particularly promising for automated test assembly…
Descriptors: Item Response Theory, Test Theory, Comparative Analysis, Computer Assisted Testing