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Comparison Of Event History Analysis And Latent Growth Modeling For College Student Perseverance, Richard Samuel Mohn Jr.
Comparison Of Event History Analysis And Latent Growth Modeling For College Student Perseverance, Richard Samuel Mohn Jr.
Theses and Dissertations
Event history analysis is the most prevalent modeling technique used to model event occurrence with longitudinal data (Cox & Oakes, 1984; Menard, 1991; Singer & Willett, 1993, 2003). An alternative is to model longitudinal data within the SEM framework, known as latent variable growth modeling (McArdle, 1988; Meredith & Tisak, 1990), which can provide a more robust framework. Whether or not a student remains in college presents an appropriate context within which to examine the modeling of event occurrence with longitudinal data. The purpose of the study was to compare event history and latent growth modeling as for predicting change …