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Gretchen Roman 1 Article
Preadmission predictors of graduation success from a physical therapy education program in the United States  
Gretchen Roman, Matthew Paul Buman
J Educ Eval Health Prof. 2019;16:5.   Published online February 26, 2019
DOI: https://doi.org/10.3352/jeehp.2019.16.5
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  • 5 Citations
AbstractAbstract PDF
Purpose
The field of physical therapy education is seeking an evidence-based approach for admitting qualified applicants, as previous research has assessed various outcomes, impeding practical application. This study was conducted to identify preadmission criteria predictive of graduation success.
Methods
Data from the 2013–2016 graduating cohorts (n=149) were collected. Predictors included verbal Graduate Record Examination rank percentile (VGRE%), quantitative GRE rank percentile, and analytical GRE rank percentile, the admissions interview, precumulative science grade point average (SGPA), precumulative grade point average (UGPA), and a reflective essay. The National Physical Therapy Examination (NPTE) and grade point average at the time of graduation (GGPA) were used as measures of graduation success. Two separate mixed-effects models determined the associations of preadmission predictors with NPTE performance and GGPA.
Results
The NPTE model fit comparison showed significant results (degrees of freedom [df]=10, P=0.001), decreasing within-cohort variance by 59.5%. NPTE performance were associated with GGPA (β=125.21, P=0.001), and VGRE%, the interview, the essay, and GGPA (P≤0.001) impacted the model fit. The GGPA model fit comparison did not show significant results (df=8, P=0.56), decreasing within-cohort variance by 16.4%. The GGPA was associated with the interview (β=0.02, P=0.04) and UGPA (β=0.25, P=0.04), and VGRE%, the interview, UGPA, and the essay (P≤0.02) impacted model fit.
Conclusion
In our findings, GGPA predicted NPTE performance, and the interview and UGPA predicted GGPA. Unlike past evidence, SGPA showed no predictive power. The essay and VGRE% warrant attention because of their influence on model fit. We recommend that admissions ranking matrices place a greater weight on the interview, UGPA, VGRE%, and essay.

Citations

Citations to this article as recorded by  
  • Predictors of Success on the National Physical Therapy Examination in 2 US Accelerated-Hybrid Doctor of Physical Therapy Programs
    Breanna Reynolds, Casey Unverzagt, Alex Koszalinski, Roberta Gatlin, Jill Seale, Kendra Gagnon, Kareaion Eaton, Shane L. Koppenhaver
    Journal of Physical Therapy Education.2022; 36(3): 225.     CrossRef
  • Predictors of National Physical Therapy Examination Failure in Graduates of a Blended Doctor of Physical Therapy Program
    Melissa J. Lazinski, Kathleen Rockefeller, M. Samuel Cheng
    Journal of Physical Therapy Education.2022;[Epub]     CrossRef
  • Predicting graduate student performance – A case study
    Jinghua Nie, Ashrafee Hossain
    Journal of Further and Higher Education.2021; 45(4): 524.     CrossRef
  • A Proposed Framework for Increasing Racial and Ethnic Diversity in Communication Sciences and Disorders Academic Programs: The REAP Model
    Bijoyaa Mohapatra, Ranjini Mohan
    Perspectives of the ASHA Special Interest Groups.2021; 6(4): 755.     CrossRef
  • Doctor of Physical Therapy Student Grit as a Predictor of Academic Success: A Pilot Study
    Rebecca Bliss, Erin Jacobson
    Health Professions Education.2020; 6(4): 522.     CrossRef

JEEHP : Journal of Educational Evaluation for Health Professions