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Comparing the Performance of Five Multidimensional CAT Selection Procedures With Different Stopping Rules
Lihua Yao
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Corresponding author for this work
Medical Social Sciences
Research output
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Article
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peer-review
44
Scopus citations
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Keyphrases
Selection Strategy
100%
Stopping Rule
100%
Computerized Adaptive Testing
66%
Kullback-Leibler
66%
Error Reduction
50%
Error Variance
33%
Composite Score
16%
Testing Procedures
16%
Domain Scores
16%
Linear Combination
16%
Test Reliability
16%
Score Test
16%
Indexing Methods
16%
Bad Results
16%
Overall Scores
16%
Varying Length
16%
Minimum Angle
16%
Maximum Limits
16%
Optimized Weights
16%
Priority Index
16%
Item Exposure Rate
16%
Precision Level
16%
Kullback-Leibler Information
16%
Mathematics
Stopping Rule
100%
Error Variance
33%
Minimizes
33%
Linear Combination
16%
Score Test
16%
Testing Procedure
16%
Simulated Data
16%