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Motivation Profiles of Engineering Doctoral Students and Implications for Persistence
The purpose of this full-length research paper is to explore the motivation profiles of engineering doctoral students (EDS) and their effects on student persistence. A Latent Profile Analysis (LPA) identified five profiles across four constructs from the Future Time Perspective (FTP) framework, with...
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Main Authors: | , , , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | The purpose of this full-length research paper is to explore the motivation profiles of engineering doctoral students (EDS) and their effects on student persistence. A Latent Profile Analysis (LPA) identified five profiles across four constructs from the Future Time Perspective (FTP) framework, with three straightforward profiles (Low, Average, and High) and two mixed profiles (Low Connectedness and Low Multiplicity). Two between-subjects ANCOVAs were run to test for differences in difficulty ascertaining degree progress (DADP) and intentions to persist (IP). DADP differed significantly by profile assignment, F(4,1137) = 21.38, p |
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ISSN: | 2377-634X |
DOI: | 10.1109/FIE43999.2019.9028565 |