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Predicting Professional and Technical Performance among Medical Students: Personality, Cognitive Ability, and the Mediating Role of Knowledge

机译:预测医学生的专业和技术表现:人格,认知能力和知识的中介作用

摘要

The distinction between technical and contextual performance is widely recognized in the Industrial/Organization Psychology literature (Sackett & Lievens, 2008). Less well-understood are the causal antecedents of performance in these domains and how those antecedents relate to each other. Motowidlo, Borman, and Schmit (1997) proposed that technical performance is determined largely by cognitive ability, which acts through the mediator technical knowledge to influence technical performance. They also proposed that contextual performance is mainly determined by personality traits and that these traits influence contextual performance via the mediating variable contextual knowledge. Although prior research has examined some of the causal antecedents proposed by Motowidlo et al. (1997), no study has examined these four variables simultaneously, in addition to gathering information about performance criteria in the two domains. This study examined these six variables in a sample of medical students. In keeping with the verbiage used in the medical literature, students' contextual knowledge is referred to as professional knowledge and their contextual performance is referred to as professional performance. Medical students (N = 209) beginning their third year at the University of Texas Medical School at Houston completed measures of professional knowledge and the Big Five personality traits and consented to have their MCAT scores (a proxy for cognitive ability) and their first- and second-year course grades (grade point average; a measure of their technical knowledge) gathered for this investigation. Performance criteria consisted of attending physicians' ratings of students' professional and technical performance during their clinical rotations. Rotations were grouped according to whether they fell into the domain of Primary Care or the Specialties. Notable findings are summarized by a path analytic model. Agreeableness exerted a causal influence on professional knowledge (β = .38) and Primary Care professional performance (β = .14). Extraversion causally affected professional knowledge (β = -.22). Professional knowledge accounted for variance in Primary Care professional (β = .19) and technical performance (β = .22). Openness to experience and conscientiousness influenced technical knowledge (β's -.19 and .25). Cognitive ability was directly related to technical knowledge (β = .43) and Specialties professional (β = -.21) and technical performance (β = -.19). Technical knowledge was related to Primary Care professional (β = .32) and technical performance (β = .42) and also Specialties professional (β = .46) and technical performance (β = .57). Results generally suggest that separate causal paths underlie performance in Primary Care and the Specialties, respectively.
机译:技术和环境绩效之间的区别在工业/组织心理学文献中得到了广泛认可(Sackett&Lievens,2008年)。在这些领域中,绩效的因果前提以及这些前提之间的相互关系还不太清楚。 Motowidlo,Borman和Schmit(1997)提出,技术绩效主要由认知能力决定,认知能力通过中介者的技术知识来影响技术绩效。他们还提出语境表现主要由人格特质决定,这些特征通过中介变量语境知识影响语境表现。尽管先前的研究已经检查了Motowidlo等人提出的一些因果前提。 (1997年),除了收集有关两个领域的绩效标准的信息外,没有研究同时检查这四个变量。这项研究检查了医学生样本中的这六个变量。与医学文献中所使用的语言相一致,学生的情境知识称为专业知识,而其情境表现则称为专业表现。在休斯敦德克萨斯大学医学院开始三年级学习的医学生(N = 209)完成了专业知识和“五大”人格特质的测评,并同意获得其MCAT分数(代表认知能力)以及第一和第二名收集了该课程的第二年课程成绩(平均绩点;衡量其技术知识的水平)。绩效标准包括主治医师对学生在临床轮换期间的专业和技术绩效的评估。根据轮换是否属于基层医疗或专科领域进行分组。路径分析模型总结了重要的发现。宜人性对专业知识(β= .38)和基层医疗专业绩效(β= .14)产生因果关系。外向性因果关系影响专业知识(β= -.22)。专业知识是基层医疗专业人员(β= .19)和技术绩效(β= .22)差异的原因。开放的经验和认真的态度影响了技术知识(β的-.19和.25)。认知能力与技术知识(β= .43)和专业专家(β= -.21)和技术绩效(β= -.19)直接相关。技术知识与基层医疗专业人员(β= .32)和技术绩效(β= .42)有关,还与专科专业人员(β= .46)和技术绩效(β= .57)有关。结果通常表明,分别的因果路径是基础保健和专科医师表现的基础。

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    Kell Harrison J.;

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  • 年度 2012
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  • 正文语种 eng
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