Literature DB >> 33456060

It Matters: Reference Indicator Selection in Measurement Invariance Tests.

Yutian T Thompson1, Hairong Song2, Dexin Shi3, Zhengkui Liu4.   

Abstract

Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to be an RI. Thus, Study 1 was designed to address this issue in various conditions using simulated data. As a follow-up, Study 2 further investigated the advantages/disadvantages of using RI-based approaches for MI testing in comparison with non-RI-based approaches. Altogether, the two studies provided a solid examination on how RI matters in MI tests. In addition, a large sample of real-world data was used to empirically compare the uses of the RI selection methods as well as the RI-based and non-RI-based approaches for MI testing. In the end, we offered a discussion on all these methods, followed by suggestions and recommendations for applied researchers.
© The Author(s) 2020.

Entities:  

Keywords:  factorial invariance; measurement invariance; multiple-group CFA; reference indicator

Year:  2020        PMID: 33456060      PMCID: PMC7797958          DOI: 10.1177/0013164420926565

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  13 in total

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Authors:  J L Horn; J J McArdle
Journal:  Exp Aging Res       Date:  1992 Autumn-Winter       Impact factor: 1.645

2.  Evaluating the impact of partial factorial invariance on selection in two populations.

Authors:  Roger E Millsap; Oi-Man Kwok
Journal:  Psychol Methods       Date:  2004-03

3.  A taxonomy of effect size measures for the differential functioning of items and scales.

Authors:  Adam W Meade
Journal:  J Appl Psychol       Date:  2010-07

4.  Masking misfit in confirmatory factor analysis by increasing unique variances: a cautionary note on the usefulness of cutoff values of fit indices.

Authors:  Moritz Heene; Sven Hilbert; Clemens Draxler; Matthias Ziegler; Markus Bühner
Journal:  Psychol Methods       Date:  2011-09

5.  Understanding the Model Size Effect on SEM Fit Indices.

Authors:  Dexin Shi; Taehun Lee; Alberto Maydeu-Olivares
Journal:  Educ Psychol Meas       Date:  2018-06-29       Impact factor: 2.821

6.  Bayesian SEM for Specification Search Problems in Testing Factorial Invariance.

Authors:  Dexin Shi; Hairong Song; Xiaolan Liao; Robert Terry; Lori A Snyder
Journal:  Multivariate Behav Res       Date:  2017-04-21       Impact factor: 5.923

Review 7.  The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models.

Authors:  Daniel McNeish; Ji An; Gregory R Hancock
Journal:  J Pers Assess       Date:  2017-03-02

8.  The Impact of Partial Factorial Invariance on Cross-Group Comparisons.

Authors:  Dexin Shi; Hairong Song; Melanie D Lewis
Journal:  Assessment       Date:  2017-06-09

9.  Evaluating Factorial Invariance: An Interval Estimation Approach Using Bayesian Structural Equation Modeling.

Authors:  Dexin Shi; Hairong Song; Christine DiStefano; Alberto Maydeu-Olivares; Heather L McDaniel; Zhehan Jiang
Journal:  Multivariate Behav Res       Date:  2018-12-20       Impact factor: 5.923

10.  Bayesian structural equation modeling: a more flexible representation of substantive theory.

Authors:  Bengt Muthén; Tihomir Asparouhov
Journal:  Psychol Methods       Date:  2012-09
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Journal:  J Youth Adolesc       Date:  2021-10-22

2.  Scale length does matter: Recommendations for measurement invariance testing with categorical factor analysis and item response theory approaches.

Authors:  E Damiano D'Urso; Kim De Roover; Jeroen K Vermunt; Jesper Tijmstra
Journal:  Behav Res Methods       Date:  2021-12-15

3.  An Italian adaptation of the Child-Adolescent Perfectionism Scale: Testing measurement invariance across grade levels and exploring associations with academic achievement.

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Journal:  PLoS One       Date:  2021-08-06       Impact factor: 3.240

  3 in total

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