Key Challenges and Some Guidance on Using Strong Quantitative Methodology in Education Research

Q4 Social Sciences
R. Henson, Genéa K. Stewart, Lee A. Bedford
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引用次数: 3

Abstract

The current article reviews several common areas of focus in quantitative methods with the hope of providing Journal of Urban Mathematics Education (JUME) readers and researchers with some guidance on conducting and reporting quantitative analyses. After providing some background for the discussion, the methodological nature of recent JUME articles is reviewed, followed by commentary on key challenges and recommendations for strong practice in quantitative methodology. The review addresses causal inferences, measurement issues, handling missing data, testing for assumptions, dealing with nested data, and providing evidence for outcomes. Enhanced quantitative training and resources for doctoral students, authors, reviewers, and editors is recommended.
在教育研究中使用强定量方法论的主要挑战和指导
本文回顾了定量方法中几个常见的重点领域,希望为《城市数学教育杂志》(JUME)的读者和研究人员提供一些关于进行和报告定量分析的指导。在为讨论提供了一些背景之后,对最近JUME文章的方法论性质进行了回顾,然后对定量方法的主要挑战和强有力实践的建议进行了评论。回顾涉及因果推论、测量问题、处理缺失数据、检验假设、处理嵌套数据以及为结果提供证据。建议加强对博士生、作者、审稿人和编辑的定量培训和资源。
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
Journal of Urban Mathematics Education
Journal of Urban Mathematics Education Social Sciences-Education
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
23 weeks
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