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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:	Perkins, Heather, Tsugawa-Nieves, Marissa, Bahnson, Matthew, Satterfield, Derrick, Parker, Mackenzie, Kirn, Adam, Cass, Cheryl
Format:	Conference Proceeding
Language:	English
Subjects:	difficulty ascertaining degree progress engineering doctoral students Engineering education Engineering profession Entropy future time perspective Instruments intentions to persist IP networks latent profile analysis Medical services Task analysis
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creator	Perkins, Heather Tsugawa-Nieves, Marissa Bahnson, Matthew Satterfield, Derrick Parker, Mackenzie Kirn, Adam Cass, Cheryl
description	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
doi_str_mv	10.1109/FIE43999.2019.9028565
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subjects	difficulty ascertaining degree progress engineering doctoral students Engineering education Engineering profession Entropy future time perspective Instruments intentions to persist IP networks latent profile analysis Medical services Task analysis
title	Motivation Profiles of Engineering Doctoral Students and Implications for Persistence
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