Development and Validation of a Data Literacy Assessment Scale

Jeonghyun Kim · Lingzi Hong · Sarah Evans · Erin Rice-Oyler · Irhamni Ali

11 citations0/0 files storedProceedings of the Association for Information Science and Technology

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Library Science and Information Literacy Digital literacy in education Statistics Education and Methodologies

Abstract

ABSTRACT The recognition of data literacy as an important learning outcome in higher education has led to a call for assessment tools to measure students’ data literacy. Although there has been a growing interest in the conceptualization of data literacy, the literature lacks a measuring instrument to operationalize data literacy. This study developed and validated a three‐factor, 24‐item data literacy assessment tool using a sample of 573 students from four community colleges in the United States. The data literacy scale developed in this study has respectable reliability and construct validity, supported by a concept analysis of data literacy, a comparative analysis of data literacy competency frameworks, an expert panel review, exploratory factor analysis, and confirmatory factor analysis.

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References

1999Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives 2018When to use and how to report the results of PLS-SEM 2003Making Sense of Factor Analysis 2017Ten Steps in Scale Development and Reporting: A Guide for Researchers 1998Robustness Studies in Covariance Structure Modeling 2015Building a Conceptual Framework for Data Literacy 2015Strategies and Best Practices for Data Literacy Education Knowledge Synthesis Report

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2023Community college students’ self-assessment of data literacy: exploring differences amongst demographic, academic, and career characteristics 2024Data Literacy and Artificial Intelligence in Higher Education 2024Self-perceived information literacy skills in Peruvian university students: a metric and descriptive-comparative study 2026Exploring undergraduates' self-efficacy in information, media, and data literacies: An integrated approach using the ACRL framework's threshold concepts

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