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认知和非认知属性在物理治疗学生表现中的作用。

Role of Cognitive and Non-Cognitive Attributes in Doctor of Physical Therapy Student Performance.

机构信息

Dep. of Psychology, Sacred Heart University, 5151 Park Ave., Fairfield, CT, 06825, USA. Tel 203-365-7505.

出版信息

J Allied Health. 2024 Fall;53(3):188-195.

Abstract

Admission to physical therapist education programs (PTEPs) is commonly based on cognitive attributes such as undergraduate grade point average (uGPA), pre-requisite course GPA (pre-req GPA), and sometimes Graduate Record Examination (GRE) scores, admissions interviews or essays. The primary purpose of this exploratory study was to examine the relationships between non-cognitive attributes identified through a personality-oriented job analysis (POJA) and Doctor of Physical Therapy (DPT) student academic performance to improve admissions procedures and DPT student education and training. The present study examined correlations among 12 non-cognitive attributes identified through the POJA and existing cognitive admission criteria, specifically uGPA and pre-req GPA, with DPT grades in the first semester of the PTEP. Multiple regression using non-cognitive attributes in addition to current cognitive admissions criteria showed that uGPA was the strongest predictor of DPT grades, followed by self-reflection and anxiousness/neuroticism (negatively). While uGPA was the strongest predictor of DPT student GPA, it may be valuable to add measures of self-reflection and anxiousness/neuroticism to the admissions process to increase the likelihood of success academically. The present study adds to a still limited body of knowledge of how both cognitive and non-cognitive attributes predict graduate academic performance in a variety of health professions.

摘要

物理治疗教育项目(PTEP)的入学通常基于认知属性,如本科平均绩点(uGPA)、先修课程绩点(pre-req GPA),有时还包括研究生入学考试(GRE)成绩、入学面试或论文。这项探索性研究的主要目的是研究通过人格导向的工作分析(POJA)确定的非认知属性与物理治疗博士(DPT)学生学术表现之间的关系,以改善招生程序和 DPT 学生的教育和培训。本研究考察了通过 POJA 确定的 12 个非认知属性与现有认知入学标准(即 uGPA 和 pre-req GPA)之间与 PTEP 第一学期 DPT 成绩的相关性。使用非认知属性和现有认知入学标准的多元回归表明,uGPA 是 DPT 成绩的最强预测因素,其次是自我反思和焦虑/神经质(负相关)。虽然 uGPA 是 DPT 学生 GPA 的最强预测因素,但在招生过程中添加自我反思和焦虑/神经质的衡量标准可能有助于提高学业成功的可能性。本研究增加了关于认知和非认知属性如何预测各种健康专业研究生学术表现的知识体系,尽管这方面的知识仍然有限。

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