SEM model Fit results in IBM AMOS – IBM SPSS
Article: Return on Investment: Identifying K-12 Funding Inequities to Improve Postsecondary Achievement and Affordability for Marginalized Students
Austin Woodside
Master's Theses and Doctoral Dissertations
Master's Theses, and Doctoral Dissertations, and Graduate Capstone Projects
Dissertation
Submitted to the College of Education
Eastern Michigan University in partial fulfillment of the requirements for the degree of
DOCTOR OF PHILOSOPHY in
Education Leadership
Dissertation Committee:
Davis Clement, PhD (Chair)
Phillip Caldwell II, PhD
Robert Carpenter, PhD
David Anderson, EdD
November 9, 2024
Ypsilanti, Michigan
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An RMSEA value less than 0.05 is generally considered indicative of a good fit. RMSEA value of 0.08 or less is considered acceptable and suggests that the model provides a reasonable fit to the data (Schreiber et al., 2006; Miljko, n.d.)
Structural equation modeling (SEM) is a statistical method used to analyze structural models that include latent variables. SEM can assess two types of models: the measurement model and the structural model.
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Miljko, L. (n.d.). How to interpret SEM model fit results in AMOS. Statistische Beratung.
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Link: https://commons.emich.edu/cgi/viewcontent.cgi?article=2624&context=theses
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