2018
DOI: 10.1002/9781119579038
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Structural Equation Modeling with lavaan

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Cited by 185 publications
(207 citation statements)
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“…The first point to note is that, except for the structural model, the more constrained the model, the more AIC and BIC decreased, and best fit was observed for the F-SoAS two-factor structure. Second, the value of p was non-significant for each invariance test, except for the structural model which remains, it should be recognized, a fairly demanding condition rarely reach in practice ( Gana and Broc, 2019 ). Therefore, apart from this consideration, it may be stated that the hypothesis of equivalence of the measurement model across genders is demonstrated.…”
Section: Resultsmentioning
confidence: 99%
“…The first point to note is that, except for the structural model, the more constrained the model, the more AIC and BIC decreased, and best fit was observed for the F-SoAS two-factor structure. Second, the value of p was non-significant for each invariance test, except for the structural model which remains, it should be recognized, a fairly demanding condition rarely reach in practice ( Gana and Broc, 2019 ). Therefore, apart from this consideration, it may be stated that the hypothesis of equivalence of the measurement model across genders is demonstrated.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, for the development of explanatory or predictive models, the variance portion can be used as a unique criterion to show the explanatory, or predictive, capacity in models that are developed with SEM. Given the noncompliance of the multivariate normality, and designed for ordinal data [62], the analysis included Maximum Likelihood estimation with robust standard errors (MLM), which uses the Satorra-Bentler scaled test statistic [63]. In all the analyses, p values below 0.05 indicate statistical significance.…”
Section: Discussionmentioning
confidence: 99%
“…In the fourth model (D), two factors were also specified; however, the items that configured one factor were those related to the physical-view and achievement-view, and the other factor was configured by items referring to the physical-concern and achievement-concern. The following indices were used as criteria of adjustment of the data to the models, as suggested by the specialized literature (Gana and Broc 2019): ratio between chi-square and degrees of freedom (χ 2 /df), Comparative Fit Index (CFI), Goodness-of-Fit Index (GFI), Normed Fit Index (NFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Akaike Information Criterion (AIC).…”
Section: Analysesmentioning
confidence: 99%