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Creation of a Computer Self-Efficacy Measure: Analysis of Internal Consistency, Psychometric Properties, and Validity

机译：创建计算机自我效能测评：内部一致性，心理计量学特性和有效性的分析

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摘要

Computer self-efficacy is an often studied construct that has been shown to be related to an array of important individual outcomes. Unfortunately, existing measures of computer self-efficacy suffer from several deficiencies, including criterion contamination, outdated wording, and/or inadequate psychometric properties. For this reason, the current article presents the creation of a new computer self-efficacy measure. In Study 1, an over-representative item list is created and subsequently reduced through exploratory factor analysis to create an initial measure, and the discriminant validity of this initial measure is tested. In Study 2, the unidimensional factor structure of the initial measure is supported through confirmatory factor analysis and further reduced into a final, 12-item measure. In Study 3, the convergent and criterion validity of the 12-item measure is tested. Overall, this three study process demonstrates that the new computer self-efficacy measure has superb psychometric properties and internal reliability, and demonstrates excellent evidence for several aspects of validity. It is hoped that the 12-item computer self-efficacy measure will be utilized in future research on computer self-efficacy, which is discussed in the current article.
机译：计算机自我效能感是一项经常研究的结构，已被证明与一系列重要的个人结果有关。不幸的是，现有的计算机自我效能感度量存在若干缺陷，包括标准污染，过时的措词和/或心理计量学特性不足。因此，本篇文章提出了一种新的计算机自我效能测量方法。在研究1中，创建了一个具有代表性的项目列表，然后通过探索性因素分析将其缩减以创建初始度量，并测试了该初始度量的判别有效性。在研究2中，初始度量的一维因子结构通过确认因子分析得到支持，并进一步简化为最终的12个项目的度量。在研究3中，测试了12个项目测度的收敛性和标准有效性。总的来说，这三个研究过程表明，新的计算机自我效能测量方法具有极好的心理测量特性和内部可靠性，并为有效性的多个方面提供了极好的证据。希望在将来对计算机自我效能的研究中使用12个项目的计算机自我效能测度，本文将对此进行讨论。

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  • 来源
    《CyberPsychology & Behavior》 |2014年第10期|677-681|共5页
  • 作者

    Matt C. Howard;

  • 作者单位

    Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania Department of Psychology The Pennsylvania State University 142 Moore Building University Park, PA 16803;

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