2016
DOI: 10.4135/9781473922273
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Introduction to Structural Equation Modeling using IBM SPSS Statistics and EQS

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Cited by 57 publications
(47 citation statements)
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“…The normality check results show that the skewness of variables is within ±1. The kurtosis is within ±4, confirming that the normality assumptions are satisfied (Table 5) [43,44]. Note: the statement of items is presented in Table A1.…”
Section: Descriptive Informationsupporting
confidence: 59%
See 1 more Smart Citation
“…The normality check results show that the skewness of variables is within ±1. The kurtosis is within ±4, confirming that the normality assumptions are satisfied (Table 5) [43,44]. Note: the statement of items is presented in Table A1.…”
Section: Descriptive Informationsupporting
confidence: 59%
“…Of the respondents, 22.4% reported annual household income between $54,654 and $76,363. For SEM analysis, a normality check on measurement variables is required [43]. The normality check results show that the skewness of variables is within ±1.…”
Section: Descriptive Informationmentioning
confidence: 99%
“…Y-B c 2 ) and other indices under Yuan-Bentler's correction of the results were adopted for deciding goodness of fit for the models. This approach is regarded as an effective adjustment procedure when the model violates multivariate normality and is applied to incomplete data (Blunch, 2016;Byrne, 2008;Savalei & Bentler, 2005).…”
Section: Discussionmentioning
confidence: 99%
“…Los modelos fueron estimados a partir de matrices de correlaciones policóricas por ser las variables en estudio de naturaleza ordinal (Morata-Ramírez & Holgado-Tello, 2013;Rhemtulla, Brosseau & Savalei, 2012). Se empleó además el método de estimación AGLS (Arbitrary Distribution Generalized Least Squares), robusto para análisis de un bajo número de reactivos de naturaleza ordinal y con una muestra amplia (Blunch, 2016). Los modelos fueron evaluados a partir de los índices de ajuste NFI (Normed Fit Index), NNFI (Non-Normed Fit Index), CFI (Comparative Fit Index), RMSEA (Root Mean Square Error of Approximation).…”
Section: Estudio De Validez De Constructo -Análisis Factorial Confirmunclassified