By Timothy Teo, Liang Ting Tsai, Chih-Chien Yang (auth.), Myint Swe Khine (eds.)
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Additional resources for Application of Structural Equation Modeling in Educational Research and Practice
Et al. (2007–2012). OpenMx [Computer software]. edu/installing-openmx. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley. Bollen, K. , & Long, J. S. (1993). Introduction. In K. A. Bollen & J. S. ), Testing structural equation models (pp. 1-9). Newbury Park, CA: Sage. , Hoyle, R. , & Panter, A. T. (2012). The structural equation modeling research report. In R. H. ), Handbook of structural equation modeling (pp. 341-358). New York: Guilford Press. Brown, T. A. (2006).
First, with regard to the inspection of skewness and kurtosis, data normality is ensured when both values are zero. Unfortunately, there are no clear-cut guidelines on the degree of non-normality. , Curran, West, & Finch, 1996) and suggested viewing skewness and kurtosis exceeding 3 and 20 respectively as extremely non-normal. Note that this is a rule-of-thumb and is not an agreed-upon definition. For example, Curran et al. (1996) consider a skewness of 2 and a kurtosis of 7 as moderately non-normal, and a skewness of 3 and a kurtosis of 21 as severely non-normal.
Hoyle, R. , & Panter, A. T. (2012). The structural equation modeling research report. In R. H. ), Handbook of structural equation modeling (pp. 341-358). New York: Guilford Press. Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford Press. Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Erlbaum. Byrne, B. M. (2006). ). Mahwah, NJ: Erlbaum. Byrne, B. M. (2010). ).