Measures are not invariant across groups without error variance homogeneity

By Richard P. DeShon. 2004

77 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0176d08139eee5e19350c47579fb26389c68495d

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Citations in the corpus

Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages (2020, background): “Although some scholars advocate for strict factorial invariance (Meredith, 1993) or equality of residual variances as a condition for comparing latent means (Deshon, 2004; Lubke & Dolan, 2003), in practice, this level of invariance is rarely pursued given that scalar invariance supports cross-group ”
Assessing statistical aspects of test fairness with structural equation modelling (2013, background): “DeShon (2004) argued that error variance (and covariance) homogeneity is critical to claiming that a set of indicators measures the same factors with the same degree of precision.”
Measurement Invariance in International Surveys: Categorical Indicators and Fit Measure Performance (2017, background): “Although some scholars advocate for equality of residual variances as a condition for comparing latent means (Deshon, 2004; Lubke & Dolan, 2003), intercept equivalence generally supports cross-group comparisons of manifest (or latent) variable means in the multivariate normal context (Hancock, 1997;”
Assessing the Hypothesis of Measurement Invariance in the Context of Large-Scale International Surveys (2014, background): “…some scholars advocate for strict factorial invariance (Meredith, 1993) or equality of residual variances as a condition for comparing latent means (Deshon, 2004; Lubke & Dolan, 2003), scalar invariance generally supports cross-group comparisons of manifest (or latent) variable means on the latent…”
Measurement invariance in confirmatory factor analysis: an illustration using IQ test performance of minorities (2010, background): “Therefore, residual variances should also be equal across groups for measurement invariance to hold (DeShon, 2004; Lubke & Dolan, 2003; Meredith, 1993).”
Decoding the Meaning of Factorial Invariance and Updating the Practice of Multi-group Confirmatory Factor Analysis: A Demonstration With TIMSS Data (2007, background): “Not until recently, in support of Meredith’s longneglected argument, Deshon (2004) and Lubke and Dolan (2003) revisited the legitimacy of strict invariance for MI and affirmed the necessity for testing equality in the residual variances, in addition to loadings and intercepts.”
Fearing the Future of Empirical Psychology: Bem's (2011) Evidence of Psi as a Case Study of Deficiencies in Modal Research Practice (2011, background): “…it should also be standard practice to routinely check the internal consistency of the scores of any measurement instruments that are used (Kashy, Donnellan, Ackerman, & Russell, 2009; LeBel & Paunonen, 2011) and to confirm measurement invariance of instruments across conditions (DeShon, 2004).”