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Matthew Bahnson

Biographic Data

ID5452968
NAMEMatthew Bahnson
GIVEN NAMESMatthew
FAMILY NAMEBahnson
SIGNATUREBAHNSON M
AFFILIATIONSUniversity of Cincinnati
ORCID0000-0002-0134-0125
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS1
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX1
  • Beyond attrition: Advisor relationships, progress clarity, and laboratory switching in engineering doctoral programs

    Open Access•Matthew Bahnson, Tabe Ako Abane•ARTICLE•Frontiers in Education•2026

    Introduction Several factors shape doctoral students’ decisions to leave their programs before completion. Among these, the quality of the advising plays a critical role. Yet, there remains limited understanding of how advisor relationships influence consequential decisions, such as early departure and lab change considerations in doctoral engineering students. This paper investigates the influence of advisor relationships on early departures and…

  • Latent profile triangulation: A mixed-method approach to defining latent profile analysis of postdoctoral mentorship competency

    Open Access•Matthew Bahnson, Monique Ross et al.•ARTICLE•Frontiers in Education•2026

    This manuscript describes the mixed method triangulation approach used to define and describe postdoctoral mentorship competency profiles identified through latent profile analysis. The method demonstrated uses example profiles from a project investigating postdoctoral mentorship competency beliefs of postdoctoral supervisors in engineering and computer science. The approach to identifying mentorship profiles from survey data required qualitative…

  • Relationships and Identity Influences on Engineering Doctoral Degree Completion Intentions

    Matthew Bahnson, Derrick Satterfield et al.•ARTICLE•The Journal of Higher Education•2024•References: 64

    Doctoral engineering students leave doctoral programs without their intended degrees at high rates, with students from minoritized groups leaving at higher rates. In the current study, we modeled the associations between academic relationships, professional identity, and degree completion intentions (DCI). Positive academic relationships with research advisors and peers within doctoral degree programs can bolster persistence and professional iden…

  • Development and initial validation of the Discrimination in Engineering Graduate Education (DEGrE) Scale

    Open Access•Matthew Bahnson, Elan C Hope et al.•ARTICLE•Journal of Diversity in Higher…•2022•Cited by: 1

  • Development and initial validation of the Discrimination in Engineering Graduate Education (DEGrE) Scale

    Open Access•Matthew Bahnson, Elan C Hope et al.•ARTICLE•Journal of Diversity in Higher…•2022•Cited by: 1

  • Development and initial validation of the Discrimination in Engineering Graduate Education (DEGrE) Scale

    Open Access•Matthew Bahnson, Elan C Hope et al.•ARTICLE•Journal of Diversity in Higher…•2022•Cited by: 1

  • Relationships and Identity Influences on Engineering Doctoral Degree Completion Intentions

    Matthew Bahnson, Derrick Satterfield et al.•ARTICLE•The Journal of Higher Education•2024•References: 64

    Doctoral engineering students leave doctoral programs without their intended degrees at high rates, with students from minoritized groups leaving at higher rates. In the current study, we modeled the associations between academic relationships, professional identity, and degree completion intentions (DCI). Positive academic relationships with research advisors and peers within doctoral degree programs can bolster persistence and professional iden…

  • Beyond attrition: Advisor relationships, progress clarity, and laboratory switching in engineering doctoral programs

    Open Access•Matthew Bahnson, Tabe Ako Abane•ARTICLE•Frontiers in Education•2026

    Introduction Several factors shape doctoral students’ decisions to leave their programs before completion. Among these, the quality of the advising plays a critical role. Yet, there remains limited understanding of how advisor relationships influence consequential decisions, such as early departure and lab change considerations in doctoral engineering students. This paper investigates the influence of advisor relationships on early departures and…

  • Latent profile triangulation: A mixed-method approach to defining latent profile analysis of postdoctoral mentorship competency

    Open Access•Matthew Bahnson, Monique Ross et al.•ARTICLE•Frontiers in Education•2026

    This manuscript describes the mixed method triangulation approach used to define and describe postdoctoral mentorship competency profiles identified through latent profile analysis. The method demonstrated uses example profiles from a project investigating postdoctoral mentorship competency beliefs of postdoctoral supervisors in engineering and computer science. The approach to identifying mentorship profiles from survey data required qualitative…

Career Development and Diversity (3 works) · Doctoral Education Challenges and Solutions (3 works) · Higher Education and Employability (3 works) · Mathematics education (2 works) · Psychology (2 works) · Applied Psychology (1 works) · Applied Psychology (1 works) · Data collection (1 works) · Degree (music (1 works) · Degree program (1 works)

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