Translation and Validation of the Brief Inventory of Technology Self-Efficacy (BITS): Simplified and Traditional Chinese Versions

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Social Science Computer Review Pub Date : 2023-05-30 DOI:10.1177/08944393231176596
Arne Weigold, Ingrid K. Weigold, Xiangling Zhang, Ning Tang, Yun Kai Chong
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Abstract

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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技术自我效能简要量表(BITS)的翻译与验证:简体中文版与繁体中文版
计算机自我效能感(CSE)仍然是研究和应用中的一个重要概念。最近开发了两种CSE测量方法,技术自我效能简要清单(BITS)和技术自我效能简要清单-简式(BITS- sf),以纠正其他可用测量方法中的问题。BITS和BITS- sf最初是用英语编写的,它们的心理测量特性是在美国样本中评估的。目前的两项研究分别将BITS和BITS- sf翻译成简体中文(中国大陆)和繁体中文(台湾),并评估了它们的心理测量特性。在研究1中,207名中国大陆的成年人完成了简体中文BITS和BITS- sf,并给出了收敛效度、区别效度和并发效度的评估方法。在研究2中,273名台湾成人完成了相同的测试,但他们完成了繁体中文BITS和BITS- sf。在这两项研究中,翻译后的BITS显示出三因素相关结构的证据,并且翻译后的BITS- sf产生了与理论和评分解释一致的几个潜在类别。此外,翻译后的量表得分显示了收敛效度、判别效度和并发效度的确凿证据。使用原始BITS和BITS- sf的结果重复了这些发现,并将其扩展到简体中文和繁体中文的翻译版本。建议在研究和应用环境中使用这些版本来评估CSE,并可供使用。这些措施的原文和译文均可从www.bitssurvey.com下载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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