Best Practices in Quantitative Methods 2008
DOI: 10.4135/9781412995627.d38
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Best Practices in Structural Equation Modeling

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Cited by 307 publications
(259 citation statements)
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“…Data were analyzed using Structural Equation Modeling (SEM; Byrne, 2006;Hancock & Mueller, 2006;Mueller & Hancock, 2008 …”
Section: Analytic Techniquementioning
confidence: 99%
“…Data were analyzed using Structural Equation Modeling (SEM; Byrne, 2006;Hancock & Mueller, 2006;Mueller & Hancock, 2008 …”
Section: Analytic Techniquementioning
confidence: 99%
“…The main aim of this analysis was to test the scales' validity in relation with other measures and further the links between of self-reassurance vs. self-criticism with well-being and depression measures. The use of cross-sectional data does not invalidate this specific approach (e.g., [56,89]). Nonetheless, future longitudinal studies are required to confirm these results.…”
Section: Limitationsmentioning
confidence: 99%
“…The RMSEA (root mean square error of approximation) is a 'badness' of fit measure which also allows for a measure of model parsimony. An RMSEA score of 0.05 and below is considered a good fit and above 0.1 should be rejected (Mueller and Hancock, 2008).…”
Section: Structural Equation Modellingmentioning
confidence: 99%