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MIMIC Models for Uniform and Nonuniform DIF as Moderated Mediation Models
Amanda K Montoya1, Minjeong Jeon1
1University of California, Los Angeles, USA.
Applied Psychological Measurement
|February 21, 2020
Summary
Differential item functioning (DIF) analysis can be understood using mediation and moderated mediation models. This framework enhances the interpretation of uniform and nonuniform DIF, offering new insights into measurement bias.
Area of Science:
- Psychometrics
- Educational Measurement
- Statistics
Background:
- Differential item functioning (DIF) is crucial for ensuring fair assessments.
- Multiple Indicators Multiple Cause (MIMIC) models are commonly used to detect DIF.
- Existing frameworks may not fully capture the complexity of DIF.
Purpose of the Study:
- To re-conceptualize Multiple Indicators Multiple Cause (MIMIC) models for uniform and nonuniform differential item functioning (DIF) as mediation and moderated mediation models.
- To leverage mediation and moderation concepts to deepen the understanding of DIF.
- To provide a novel framework for analyzing DIF patterns.
Main Methods:
- Conceptualizing DIF within the framework of mediation and moderated mediation.
- Applying concepts from mediation and moderation literature to DIF analysis.
- Examining uniform and nonuniform DIF as direct effects and interactions.
Main Results:
- DIF can be understood as the effect of a variable on measurements not explained by the latent variable.
- The framework clarifies the interpretation of uniform DIF in the presence of nonuniform DIF.
- Indirect effects and conditional effects offer deeper insights into DIF patterns.
Conclusions:
- Viewing DIF through mediation and moderated mediation provides a more comprehensive understanding.
- This approach enhances the interpretation of uniform and nonuniform DIF.
- The proposed conceptualization offers practical benefits for DIF analysis and psychometric research.
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