中国大陆
算术
计算机科学
判别效度
心理学
结构效度
复制
同时有效性
统计
自然语言处理
中国
人工智能
数学
心理测量学
政治学
法学
内部一致性
作者
Arne Weigold,Ingrid K. Weigold,Xiangling Zhang,Ning Tang,Yun Kai Chong
标识
DOI:10.1177/08944393231176596
摘要
Computer self-efficacy (CSE) continues to be an important construct in research and application. Two measures of CSE, the Brief Inventory of Technology Self-Efficacy (BITS) and the Brief Inventory of Technology Self-Efficacy – Short Form (BITS-SF) were recently developed to correct for issues in other available measures. The BITS and BITS-SF were originally written in English, and their psychometric properties assessed in samples from the United States. The current two studies translated the BITS and BITS-SF into simplified Chinese (Mainland China) and traditional Chinese (Taiwan) and assessed their psychometric properties. In Study 1, 207 adults in Mainland China completed the simplified Chinese BITS and BITS-SF, as well as measures given to assess convergent, discriminant, and concurrent validity. In Study 2, 273 adults in Taiwan did the same, except that they completed the traditional Chinese BITS and BITS-SF. In both studies, the translated BITS showed evidence of a three-factor correlated structure, and the translated BITS-SF yielded several underlying classes consistent with theory and scoring interpretation. Additionally, the translated measures’ scores showed solid evidence of convergent, discriminant, and concurrent validity. The results replicate the findings using the original BITS and BITS-SF and extend them to simplified Chinese and traditional Chinese translated versions. These versions are recommended for use in research and applied settings to assess CSE and are available for use. Both the original and translated measures are available for download at www.bitssurvey.com .
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