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ERIC Number: ED521384
Record Type: Non-Journal
Publication Date: 2011-Apr-8
Pages: 12
Abstractor: As Provided
Reference Count: 6
Longitudinal Data Analysis with Latent Growth Modeling: An Introduction and Illustration for Higher Education Researchers
Blanchard, Rebecca D.; Konold, Timothy R.
Online Submission, Paper presented at the Annual Meeting of the American Educational Research Association (New Orleans, LA, Apr 8-12, 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 relevant to postsecondary education research, LGM has not been utilized widely by higher education researchers. This paper begins by introducing LGM as a desirable mechanism for analyzing variability in individual growth trajectories over time and then presents an illustration of its application. An example of the application of LGM to data obtained from the Integrated Postsecondary Educational Data System (IPEDS) is presented to introduce specific components of LGM, including model specification and goodness-of-fit indices, and to demonstrate the research potential for higher education researchers. Finally, additional datasets offering longitudinal analysis potential for higher education researchers are presented to facilitate research. (Contains 2 tables, 2 figures, and 8 footnotes.)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A