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Creation and validation of a research-oriented learning agility measure.

机译:创建和验证以研究为导向的学习敏捷性度量。

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摘要

Learning agility is defined as "the willingness and ability to learn new competencies in order to perform under first-time, tough, or different conditions" (Lombardo & Eichinger, 2000, p. 323). The concept of learning agility came about from an observed gap in the leadership literature and was developed through behavioral observation of executives (De Meuse, Dai, & Hallenbeck, 2010). Learning agility currently has three different theoretical factor structures, these being a single factor, four factors, and five factors. Learning agility has been shown to predict employee performance as well as employers' rating of promotion potential, while being independent of personality and cognitive ability (Bedford, 2011; Connolly, 2001; De Meuse, Dai, Eichinger, Page, Clark, & Zewdie, 2011; De Meuse, Karunaratne, & Alexander, 2012; Dries, Vantilborgh, & Pepermans, 2012; Lombardo & Eichinger, 2000). The currently available learning agility measures do not lend themselves well to use by the academic community due to prohibitive administration costs. The purpose of this study was to develop a new, self-report learning agility scale to exist in the public domain. The finalized Learning Agility Research Instrument (LARI) is composed of 17 items. The LARI displayed acceptable internal consistency (McDonald's o = .86), however, evidence for validity was mixed. Scores on the LARI were unable to establish discriminant validity from personality, and correlated with other variables in unpredicted ways as well. Structural equation modeling was used to show that learning agility data best fit a hierarchical, five-factor structure. Results also suggested that learning agility may be better conceptualized as a more cognitively-driven trait, and investigation of this may be fruitful in future research.
机译:学习敏捷度被定义为“学习能力并愿意在新的,艰难的或不同的条件下表现的能力”(Lombardo&Eichinger,2000,第323页)。学习敏捷性的概念来自于领导力文献中观察到的空白,并且是通过对高管的行为观察而发展起来的(De Meuse,Dai和Hallenbeck,2010)。当前,学习敏捷性具有三种不同的理论因素结构,分别是一个因素,四个因素和五个因素。研究表明,学习敏捷性可以预测员工的绩效以及雇主对晋升潜力的评级,而与人格和认知能力无关(Bedford,2011; Connolly,2001; De Meuse,Dai,Eichinger,Page,Clark和Zewdie, 2011年; De Meuse,Karunaratne和Alexander,2012; Dries,Vantilborgh和Pepermans,2012; Lombardo和Eichinger,2000)。由于管理成本过高,当前可用的学习敏捷性措施不适用于学术界。这项研究的目的是开发一种新的自我报告学习敏捷性量表,以存在于公共领域。最终确定的学习敏捷性研究工具(LARI)由17个项目组成。 LARI显示出可接受的内部一致性(麦当劳o = 0.86),但是有效性的证据参差不齐。 LARI的分数无法建立与人格的判别效度,并且也以其他无法预测的方式与其他变量相关联。结构方程模型用于表明学习敏捷性数据最适合分层的五因素结构。结果还表明,学习敏捷性可以更好地概念化为一种更受认知驱动的特征,对此的研究可能会在未来的研究中取得丰硕成果。

著录项

  • 作者

    Yockey, Seth D.;

  • 作者单位

    Western Illinois University.;

  • 授予单位 Western Illinois University.;
  • 学科 Social psychology.
  • 学位 M.S.
  • 年度 2015
  • 页码 118 p.
  • 总页数 118
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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