Predicting performance in a doctor of physical therapy gross anatomy course based on an exploratory factor analysis of the anatomical self-efficacy instrument.

IF 5.2 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Kelly Reynolds, Shani Mueller, Maggie Horn
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Abstract

Measuring self-efficacy can be a valuable means for instructors to predict student performance. However, it is crucial to measure self-efficacy within specific contexts to effectively gauge students' perceptions of their capabilities. This study evaluated the factors comprising the Anatomical Self-Efficacy Instrument (ASEI) and determined whether these factors could predict performance in gross anatomy. Three cohorts of Doctor Physical Therapy (DPT) students completed the ASEI at the start of gross anatomy. An exploratory factor analysis (EFA) analyzed the ASEI's dimensionality, and Cronbach's alpha evaluated the internal consistency of the extracted factors. Linear regression was used to determine whether ASEI's total or subdomain scores predicted final anatomy course performance scores. In total, 142 of 287 (49.5%) DPT students completed the ASEI. EFA revealed three distinct factors, including "cognitive," "psychomotor," and "clinical anatomy self-efficacy", and explained 44.9%, 13.7%, and 5.2% of the total variance, respectively. Only cognitive self-efficacy predicted final gross anatomy course performance (β = 0.34; R2 = 0.071; F(3,138) = 3.51; p < 0.05). Overall, the ASEI's 3-factor solution implies its multidimensionality, a finding that could inform the development of more comprehensive self-efficacy measures. Notably, "cognitive self-efficacy" was the only subdomain that predicted DPT student performance in anatomy, suggesting its potential as a tool for identifying students in need of additional learning support. The ASEI's practical usability should be further explored through additional psychometric testing.

根据解剖学自我效能感工具的探索性因素分析预测物理治疗学博士解剖学课程的成绩。
测量自我效能感是教师预测学生成绩的重要手段。然而,关键是要在特定情境下测量自我效能感,以有效衡量学生对自身能力的认知。本研究评估了组成解剖学自我效能感工具(ASEI)的因素,并确定这些因素是否能预测大体解剖学的成绩。三批物理治疗博士(DPT)学生在大体解剖学开始时完成了 ASEI。探索性因子分析(EFA)分析了 ASEI 的维度,Cronbach's alpha 评估了提取因子的内部一致性。线性回归用于确定 ASEI 的总分或子域分数是否能预测解剖学课程的最终成绩分数。在 287 名 DPT 学生中,共有 142 人(49.5%)完成了 ASEI。EFA 发现了三个不同的因子,包括 "认知"、"心理运动 "和 "临床解剖自我效能",分别解释了总方差的 44.9%、13.7% 和 5.2%。只有认知自我效能预测了解剖学课程的最终成绩(β = 0.34; R2 = 0.071; F(3,138) = 3.51; p
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来源期刊
Anatomical Sciences Education
Anatomical Sciences Education Anatomy/education-
CiteScore
10.30
自引率
39.70%
发文量
91
期刊介绍: Anatomical Sciences Education, affiliated with the American Association for Anatomy, serves as an international platform for sharing ideas, innovations, and research related to education in anatomical sciences. Covering gross anatomy, embryology, histology, and neurosciences, the journal addresses education at various levels, including undergraduate, graduate, post-graduate, allied health, medical (both allopathic and osteopathic), and dental. It fosters collaboration and discussion in the field of anatomical sciences education.
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