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Lida Lin1
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Evaluate Measurement Invariance across Multiple Groups: A Comparison between the Alignment Optimization and the Random Item Effects Model
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Lida Lin – ProQuest LLC, 2020
Participants in achievement tests or psychometric scales can be naturally divided into various sub-groups such as gender, race, social economic status, school district, etc. In order to make meaningful comparison between groups, each item in the test/scale should measure the same underlying construct for participants came from different groups.…
Descriptors: Measurement Techniques, Item Sampling, Achievement Tests, Psychometrics