2021
DOI: 10.1080/10705511.2021.1890604
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The Impact of Item Parceling on Structural Parameter Invariance in Multi-group Structural Equation Modeling

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Cited by 13 publications
(7 citation statements)
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“…RMSEA is a Root-mean-square error of approximation (RMSEA) that could be said as an ‘absolute fit index’, with 0 indicating the ‘best fit and values > 0 suggesting a worse fit [ 85 ]. Values of 0.05 or below indicate a close-fitting model, while values between/up to .08 or 0.10 are deemed acceptable [ 89 , 90 ].…”
Section: Resultsmentioning
confidence: 99%
“…RMSEA is a Root-mean-square error of approximation (RMSEA) that could be said as an ‘absolute fit index’, with 0 indicating the ‘best fit and values > 0 suggesting a worse fit [ 85 ]. Values of 0.05 or below indicate a close-fitting model, while values between/up to .08 or 0.10 are deemed acceptable [ 89 , 90 ].…”
Section: Resultsmentioning
confidence: 99%
“…In multi-group analysis, various parameter restrictions are needed to find out the most suitable path model ( Lee and Whittaker, 2021 ). After comparing the adaptation indexes of the baseline model (i.e., the unconstrained model), the measurement weights model, the structural weights model, the structural covariances model, the structural residuals model, and the measurement residuals model.…”
Section: Data Analysis and Discussionmentioning
confidence: 99%
“…We then applied multigroup CFA to test the measurement invariance across gender of attachment insecurity and forgiveness measures. Indeed, metric invariance (i.e., equal factor loadings) needs to be established prior to testing for invariance of structural path coefficients across groups [ 54 ]. To test for measurement invariance, configural (equal factor structure) and metric (equal factor loadings) invariance models were compared.…”
Section: Methodsmentioning
confidence: 99%