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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
Tauriac, Jesse J. – ProQuest LLC, 2009
Researchers express growing concern over the increasing higher education achievement gap between subgroups of Black American students (e.g., Massey, Mooney, Torres, & Charles, 2007). Whereas the number of degrees awarded to Black females has consistently grown for each of the past twenty years, the number of degrees awarded to Black males during…
Descriptors: African American Students, First Generation College Students, Structural Equation Models, Academic Achievement