Toward measuring data literacy for higher education: Developing and validating a data literacy self-efficacy scale

IF 2.8 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jeonghyun Kim, Lingzi Hong, Sarah Evans
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引用次数: 0

Abstract

Data literacy, a multifaceted competency in working with data, has emerged as an essential skill that holds significance in both personal and professional lives. Nonetheless, there is a lack of a precise definition of data literacy, and individuals' perceptions of their data literacy have not been thoroughly investigated. This study aims to develop and validate a scale designed for measuring self-efficacy in data literacy within the context of higher education. Both exploratory and confirmatory factor analyses were conducted to determine construct validity and reliability. The resulting data literacy self-efficacy scale comprises 31 items organized into three factors: data identification, data processing, and data management and sharing. These factors represent distinct yet interconnected dimensions, highlighting the multifaceted nature of data literacy.

衡量高等教育的数据素养:开发并验证数据素养自我效能量表
数据素养是一种处理数据的多方面能力,它已成为一种基本技能,在个人和职业生活中都具有重要意义。然而,数据素养缺乏准确的定义,个人对其数据素养的看法也没有得到深入研究。本研究旨在开发和验证一个量表,用于测量高等教育背景下的数据素养自我效能感。为了确定量表的结构效度和信度,我们进行了探索性和确认性因素分析。最终得出的数据素养自我效能量表由 31 个项目组成,分为三个因子:数据识别、数据处理以及数据管理和共享。这些因子代表了不同但又相互关联的维度,突出了数据素养的多面性。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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