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Longitudinal Data Analysis with Latent Growth Modeling: An Introduction and Illustration for Higher Education Researchers
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Blanchard, Rebecca D.; Konold, Timothy R. – Online Submission, 2011
This paper introduces latent growth modeling (LGM) as a statistical method for analyzing change over time in latent, or unobserved, variables, with particular emphasis of the application of this method in higher education research. While increasingly popular in other areas of education research and despite a wealth of publicly-available datasets…
Descriptors: Data Analysis, Statistical Analysis, Structural Equation Models, Higher Education