Measurement Must Be Qualitative, then Quantitative, then Qualitative Again

IF 2.7 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Andrew D. Ho
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引用次数: 0

Abstract

Educational measurement is a social science that requires both qualitative and quantitative competencies. Qualitative competencies in educational measurement include developing and applying theories of learning, designing instruments, and identifying the social, cultural, historical, and political contexts of measurement. Quantitative competencies include statistical inference, computational fluency, and psychometric modeling. I review 12 commentaries authored by past presidents of the National Council on Measurement in Education (NCME) published in a special issue prompting them to reflect on the past, present, and future of educational measurement. I explain how a perspective on both qualitative and quantitative competencies yields common themes across the commentaries. These include the appeal and challenge of personalization, the necessity of contextualization, and the value of communication and collaboration. I conclude that elevation of both qualitative and quantitative competencies underlying educational measurement provides a clearer sense of how NCME can advance its mission, “to advance theory and applications of educational measurement to benefit society.”

测量必须是定性的,然后是定量的,然后再是定性的
教育测量是一门需要定性和定量能力的社会科学。教育测量的定性能力包括发展和应用学习理论,设计工具,识别测量的社会、文化、历史和政治背景。定量能力包括统计推断、计算流畅性和心理测量建模。我回顾了12篇由全国教育测量委员会(NCME)前任主席撰写的评论,这些评论发表在一个特刊上,促使他们反思教育测量的过去、现在和未来。我解释了定性和定量能力的观点如何在评论中产生共同的主题。其中包括个性化的吸引力和挑战,情境化的必要性,以及沟通和协作的价值。我的结论是,教育测量的定性和定量能力的提升,为NCME如何推进其使命提供了更清晰的认识,“推进教育测量的理论和应用,造福社会”。
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
CiteScore
3.90
自引率
15.00%
发文量
47
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