Paper Info
Title
Motivation Profiles of Engineering Doctoral Students and Implications for Persistence
Abstract
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 <; .001, Partial-eta squared =.07, as did IP, F(4,1136) = 12.26, p <; .001, Partial-eta squared =.04. This indicates that there are distinct motivation profiles among EDS with implications for student progress and persistence. Differences between the five profiles and their effect on DADP and IP will be discussed in further detail, along with recommendations for faculty and advisors.
Year
DOI
Venue
2019
10.1109/FIE43999.2019.9028565
2019 IEEE Frontiers in Education Conference (FIE)
Keywords
DocType
ISSN
engineering doctoral students,future time perspective,latent profile analysis,difficulty ascertaining degree progress,intentions to persist (key words)
Conference
1539-4565
ISBN
Citations 
PageRank 
978-1-7281-1747-8
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Heather Perkins100.34
Marissa Tsugawa-Nieves200.34
Matthew Bahnson300.34
Derrick Satterfield400.34
Mackenzie Parker500.34
adam kirn615.82
Cheryl A. P. Cass733.12