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Explicating Computer Self-Efficacy Relationships: Generality and the Overstated Case of Specificity Matching

机译:阐述计算机自我效能关系:普遍性和夸大的特异性匹配案例

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摘要

Computer self-efficacy is known to operate at multiple levels, from application-specific subdomains like spreadsheets to a judgment of ability for the entire computing domain (general computer self-efficacy, GCSE). Conventional wisdom and many recent studies contend that the level of self-efficacy (specific to general) should match the level of its related constructs to maximize predictive power (Bandura, 1997; Chen, Gully, & Eden, 2001; Pajares, 1996). This thinking claims, for example, that GCSE should be used with a general attitude like computer anxiety (and vice versa). This study examines whether such a limitation is theoretically and empirically sound given that SE judgments generalize across domains.
机译:众所周知,计算机自我效能可以在多个级别上运行,从特定于应用程序的子域(如电子表格)到整个计算域的能力判断(通用计算机自我效能,GCSE)。传统观点和最近的许多研究认为,自我效能感(特定于一般)的水平应与其相关结构的水平相匹配,以最大化预测能力(Bandura,1997; Chen,Gully,&Eden,2001; Pajares,1996)。这种想法声称,例如,应该以计算机焦虑之类的一般态度使用GCSE(反之亦然)。这项研究检验了这种限制在理论和经验上是否合理,因为SE判断在各个领域都有普遍性。

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