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

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  • Jeonghyun Kim
  • Lingzi Hong
  • Sarah Evans

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.

Suggested Citation

  • Jeonghyun Kim & Lingzi Hong & Sarah Evans, 2024. "Toward measuring data literacy for higher education: Developing and validating a data literacy self‐efficacy scale," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(8), pages 916-931, August.
    • Handle: RePEc:bla:jinfst:v:75:y:2024:i:8:p:916-931
    DOI: 10.1002/asi.24934
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