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Measuring General Computer Self-Efficacy: The Surprising Comparison of Three Instruments in Predicting Performance, Attitudes, and Usage

机译:衡量一般计算机自我效力:三种仪器在预测性能,态度和用法中的令人惊讶的比较

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General computer self-efficacy is an individual’s perception of ability across multiple computer applications and is conceptually distinct from specific CSE, which targets a single activity. General CSE is currently measured using both general and global instruments, and in many studies, it has been a significant predictor of computing behaviors. But there have been weak or inconsistent results, which have confounded its value as a construct of interest. One reason for such results is a lack of research concerning instrument suitability; another is that current instruments do not adequately isolate the construct. This study introduces a new measure of general CSE, one calculated by summing application-specific CSEs (SGCSE). It then compares SGCSE with two current general measures, in predicting ability, attitudes, and usage. Results suggest that the choice of instrument significantly affects study results. SGCSE was best for performance predictions and the global measure was surprisingly robust.
机译:一般计算机自我效能是个人对多种计算机应用程序的能力的看法,并且在概念上不同于针对单一活动的特定CSE。通用CSE目前正在使用一般和全球仪器测量,并且在许多研究中,它是计算行为的重要预测因素。但结果疲弱或不一致,这使得其价值将其价值与兴趣的构建相结合。这种结果的一个原因是缺乏有关仪器适用性的研究;另一种是目前的仪器不会充分隔离构建体。本研究介绍了一般CSE的新措施,通过求解应用程序特定的CSE(SGCSE)计算。然后将SGCSE与两种当前一般措施相比,预测能力,态度和使用情况。结果表明,仪器的选择显着影响研究结果。 SGCSE最适合绩效预测,全球措施令人惊讶地强劲。

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