国际大规模评估在教育荟萃分析中的潜力

IF 2.6 Q1 EDUCATION & EDUCATIONAL RESEARCH Large-Scale Assessments in Education Pub Date : 2024-02-14 DOI:10.1186/s40536-024-00191-1
Ronny Scherer, Fazilat Siddiq, Trude Nilsen
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引用次数: 0

摘要

元分析和国际大规模评估(ILSA)是为教育政策、研究和实践提供信息的重要来源。虽然许多关键的研究问题可以通过从这两个来源中汲取证据来解决,但元分析师很少整合国际大规模评估,目前的整合实践也缺乏方法指导。因此,本方法论综述旨在总结和说明将ILSA数据纳入荟萃分析的原则和实践。具体来说,我们(a)回顾了四种纳入ILSA数据的方法(分析步骤、潜力、挑战);(b)研究了现有的荟萃分析是否以及如何纳入ILSA数据;(c)提供了一个实践范例,说明如何实施这四种方法。考虑到需要对教育不平等现象进行元分析,我们将审查和说明放在了学生成绩中的性别差异和社会经济差距的背景下。最后,我们概述了荟萃分析师可以采取的步骤,以利用 ILSA 数据的潜力并解决教育荟萃分析所面临的挑战。
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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The potential of international large-scale assessments for meta-analyses in education

Meta-analyses and international large-scale assessments (ILSA) are key sources for informing educational policy, research, and practice. While many critical research questions could be addressed by drawing evidence from both of these sources, meta-analysts seldom integrate ILSAs, and current integration practices lack methodological guidance. The aim of this methodological review is therefore to synthesize and illustrate the principles and practices of including ILSA data in meta-analyses. Specifically, we (a) review four ILSA data inclusion approaches (analytic steps, potential, challenges); (b) examine whether and how existing meta-analyses included ILSA data; and (c) provide a hands-on illustrative example of how to implement the four approaches. Seeing the need for meta-analyses on educational inequalities, we situated the review and illustration in the context of gender differences and socioeconomic gaps in student achievement. Ultimately, we outline the steps meta-analysts could take to utilize the potential and address the challenges of ILSA data for meta-analyses in education.

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来源期刊
Large-Scale Assessments in Education
Large-Scale Assessments in Education Social Sciences-Education
CiteScore
4.30
自引率
6.50%
发文量
16
审稿时长
13 weeks
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