Journal of Educational Evaluation for Health Professions

Review

The relationship of non-cognitive factors to academic and clinical performance in graduate rehabilitation science students in the United States: a systematic review: Kelly Reynolds, Caroline Bazemore, Cannon Hanebuth, Steph Hendren, Maggie Horn; J Educ Eval Health Prof. 2021;18:31. Published online November 23, 2021; DOI: https://doi.org/10.3352/jeehp.2021.18.31

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Purpose
Rehabilitation science programs utilize cognitive and non-cognitive factors to select students who can complete the didactic and clinical portions of the program and pass the licensure exam. Cognitive factors such a prior grade point average and standardized test scores are known to be predictive of academic performance, but the relationship of non-cognitive factors and performance is less clear. The purpose of this systematic review was to explore the relationship of non-cognitive factors to academic and clinical performance in rehabilitation science programs.
Methods
A search of 7 databases was conducted using the following eligibility criteria: graduate programs in physical therapy (PT), occupational therapy, speech-language pathology, United States-based programs, measurement of at least 1 non-cognitive factor, measurement of academic and/or clinical performance, and quantitative reporting of results. Articles were screened by title, abstract, and full text, and data were extracted.
Results
After the comprehensive screening, 21 articles were included in the review. Seventy-six percent of studies occurred in PT students. Grit, self-efficacy, emotional intelligence, and stress were the most commonly studied factors. Only self-efficacy, emotional intelligence, and personality traits were examined in clinical and academic contexts. The results were mixed for all non-cognitive factors. Higher grit and self-efficacy tended to be associated with better performance, while stress was generally associated with worse outcomes.
Conclusion
No single non-cognitive factor was consistently related to clinical or academic performance in rehabilitation science students. There is insufficient evidence currently to recommend the evaluation of a specific non-cognitive factor for admissions decisions.

Citations

Citations to this article as recorded by

Comparison of 2 Methods of Debriefing for Learning of Interprofessional Handoff Skills
Julie Ronnebaum, Chunfa Jie, Kristina Salazar
Journal of Acute Care Physical Therapy.2023; 14(1): 18. CrossRef
Investigating Latent Interactions between Students’ Affective Cognition and Learning Performance: Meta-Analysis of Affective and Cognitive Factors
Jian Li, Eryong Xue, Chenchang Li, Yunshu He
Behavioral Sciences.2023; 13(7): 555. CrossRef
Relationship between digital capabilities and academic performance: the mediating effect of self-efficacy
Rasha Kadri Ibrahim, Aisha Namshan Aldawsari
BMC Nursing.2023;[Epub] CrossRef
Grouping of academic achievements’ predictors in Russian current psychological and pedagogical studies
Roman A. Dormidontov
Psychological-Pedagogical Journal GAUDEAMUS.2022; (4): 18. CrossRef

Brief Report

Effectiveness of pre-admission data and letters of recommendation to predict students who will need professional behavior intervention during clinical rotations in the United States: Chalee Engelhard, Rebecca Leugers, Jenna Stephan; J Educ Eval Health Prof. 2016;13:26. Published online June 27, 2016; DOI: https://doi.org/10.3352/jeehp.2016.13.26

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Abstract PDF

The study aimed at finding the value of letters of recommendation in predicting professional behavior problems in the clinical portion of a Doctor of Physical Therapy program learning cohorts from 2009-2014 in the United States. De-identified records of 137 Doctor of Physical Therapy graduates were examined by the descriptive statistics and comparison analysis. Thirty letters of recommendation were investigated based on grounded theory from 10 student applications with 5 randomly selected students of interest and 5 non-students of interest. Critical thinking, organizational skills, and judgement were statistically significant and quantitative differentiating characteristics. Qualitatively, significant characteristics of the student of interest included effective communication and cultural competency. Meanwhile, those of nonstudents of interest included conflicting personality descriptor, commitment to learning, balance, teamwork skills, potential future success, compatible learning skills, effective leadership skills, and emotional intelligence. Emerged significant characteristics did not consistently match common non-professional behavior issues encountered in clinic. Pre-admission data and letters of recommendation appear of limited value in predicting professional behavior performance in clinic.

Citations

Citations to this article as recorded by

The Vital Role of Professionalism in Physical Medicine and Rehabilitation
Julie K. Silver, Sara Cuccurullo, Lyn D. Weiss, Christopher Visco, Mooyeon Oh-Park, Danielle Perret Karimi, Walter R. Frontera, Talya K. Fleming, Glendaliz Bosques, Saurabha Bhatnagar, Anne Felicia Ambrose, Vu Q.C. Nguyen
American Journal of Physical Medicine & Rehabilitation.2020; 99(4): 273. CrossRef

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