操作化
验证性因素分析
探索性因素分析
读写能力
概念化
比例(比率)
项目分析
信息素养
心理学
项目反应理论
可靠性(半导体)
样品(材料)
构造(python库)
结构效度
数学教育
计算机科学
数据科学
心理测量学
教育学
结构方程建模
人工智能
发展心理学
机器学习
哲学
物理
功率(物理)
化学
认识论
色谱法
量子力学
程序设计语言
作者
Jeonghyun Kim,Lingzi Hong,Sarah Evans,Erin Oyler‐Rice,Irhamni Ali
摘要
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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