Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysis.
Author:
Publisher
American Psychological Association (APA)
Subject
Psychology (miscellaneous)
Link
http://psycnet.apa.org/psycarticles/2023-78835-001.pdf
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.;Psychological Methods;2024-08-29
2. Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models;Psychometrika;2024-08-10
3. A Bayesian Moderated Nonlinear Factor Analysis Approach for DIF Detection under Violation of the Equal Variance Assumption;Journal of Educational Measurement;2024-03-15
4. Bayesian Adaptive Lasso for the Detection of Differential Item Functioning in Graded Response Models;Journal of Educational and Behavioral Statistics;2024-03-07
5. Enhancing measurement validity in diverse populations: Modern approaches to evaluating differential item functioning;British Journal of Mathematical and Statistical Psychology;2023-07-10
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