Mplus Short Courses Topic 1 Exploratory Factor Analysis, Confirmatory Factor Analysis, And Structural Equation Modeling For Continuous Outcomes
74 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6e9643e3cc0679d85ed9b4e2c46df92981110844
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- Alexandre J. S. Morin
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- Herbert W. Marsh
- K. V. Van Orden
- T. Joiner
- Tracy K. Witte
- A. Stalikas
- Kelly C. Cukrowicz
Citations in the corpus
- Applied Psychometrics: The Steps of Scale Development and Standardization Process (2018, background): “…2015) or 20 - 30 (Barker et al., 2016) to evaluate item clarity, reliability, and item characteristics (means and standard deviations) and check dimensionality before large-scale research in order to plan large-scale research better (Muthén & Muthén, 2009; Barker et al., 2016; Singh et al., 2016).”
- Exploratory structural equation modeling: an integration of the best features of exploratory and confirmatory factor analysis. (2014, background): “EwC is an extension of an initial proposal by Jöreskog (1969; also see Muthén & Muthén 2009, slides 133–146) that provides a solution to some of the aforementioned limitations of ESEM.”
- Thwarted Belongingness and Perceived Burdensomeness: Construct Validity and Psychometric Properties of the Interpersonal Needs Questionnaire (2011, methodology): “The research strategy used in this section followed recommendations by Muthen and Muthen (2008) and T.”