Literature DB >> 32076356

MIMIC Models for Uniform and Nonuniform DIF as Moderated Mediation Models.

Amanda K Montoya1, Minjeong Jeon1.   

Abstract

In this article, the authors describe how multiple indicators multiple cause (MIMIC) models for studying uniform and nonuniform differential item functioning (DIF) can be conceptualized as mediation and moderated mediation models. Conceptualizing DIF within the context of a moderated mediation model helps to understand DIF as the effect of some variable on measurements that is not accounted for by the latent variable of interest. In addition, useful concepts and ideas from the mediation and moderation literature can be applied to DIF analysis: (a) improving the understanding of uniform and nonuniform DIF as direct effects and interactions, (b) understanding the implication of indirect effects in DIF analysis, (c) clarifying the interpretation of the "uniform DIF parameter" in the presence of nonuniform DIF, and (d) probing interactions and using the concept of "conditional effects" to better understand the patterns of DIF across the range of the latent variable.
© The Author(s) 2019.

Keywords:  MIMIC models; differential item functioning; item response theory; mediation; moderated mediation

Year:  2019        PMID: 32076356      PMCID: PMC7003182          DOI: 10.1177/0146621619835496

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  8 in total

1.  A general framework and an R package for the detection of dichotomous differential item functioning.

Authors:  David Magis; Sébastien Béland; Francis Tuerlinckx; Paul De Boeck
Journal:  Behav Res Methods       Date:  2010-08

2.  A general approach to causal mediation analysis.

Authors:  Kosuke Imai; Luke Keele; Dustin Tingley
Journal:  Psychol Methods       Date:  2010-12

3.  An Index and Test of Linear Moderated Mediation.

Authors:  Andrew F Hayes
Journal:  Multivariate Behav Res       Date:  2015       Impact factor: 5.923

4.  Evaluation of MIMIC-Model Methods for DIF Testing With Comparison to Two-Group Analysis.

Authors:  Carol M Woods
Journal:  Multivariate Behav Res       Date:  2009 Jan-Feb       Impact factor: 5.923

5.  Identifiability and exchangeability for direct and indirect effects.

Authors:  J M Robins; S Greenland
Journal:  Epidemiology       Date:  1992-03       Impact factor: 4.822

6.  Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations.

Authors:  Andrew F Hayes; Jörg Matthes
Journal:  Behav Res Methods       Date:  2009-08

7.  The Mediated MIMIC Model for Understanding the Underlying Mechanism of DIF.

Authors:  Ying Cheng; Can Shao; Quinn N Lathrop
Journal:  Educ Psychol Meas       Date:  2015-03-25       Impact factor: 2.821

8.  Multidimensional Extension of Multiple Indicators Multiple Causes Models to Detect DIF.

Authors:  Soo Lee; Okan Bulut; Youngsuk Suh
Journal:  Educ Psychol Meas       Date:  2016-05-25       Impact factor: 2.821

  8 in total
  3 in total

1.  DIF Detection With Zero-Inflation Under the Factor Mixture Modeling Framework.

Authors:  Sooyong Lee; Suhwa Han; Seung W Choi
Journal:  Educ Psychol Meas       Date:  2021-07-26       Impact factor: 3.088

2.  Differential Item Functioning Analyses of the Patient-Reported Outcomes Measurement Information System (PROMIS®) Measures: Methods, Challenges, Advances, and Future Directions.

Authors:  Jeanne A Teresi; Chun Wang; Marjorie Kleinman; Richard N Jones; David J Weiss
Journal:  Psychometrika       Date:  2021-07-12       Impact factor: 2.500

3.  The multiple indicator multiple cause model for cognitive neuroscience: An analytic tool which emphasizes the behavior in brain-behavior relationships.

Authors:  Adon F G Rosen; Emma Auger; Nicholas Woodruff; Alice Mado Proverbio; Hairong Song; Lauren E Ethridge; David Bard
Journal:  Front Psychol       Date:  2022-08-04
  3 in total

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