使用混合方法探索随机对照试验中影响的变化:以COMPASS项目为例

IF 3.8 1区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Journal of Mixed Methods Research Pub Date : 2021-08-03 DOI:10.1177/15586898211033144
Julie A. Edmunds, Dora Gicheva, Beth Thrift, M. Hull
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引用次数: 3

摘要

随机对照试验(RCT)在教育中很常见,因为该设计允许对项目的总体影响进行无偏见的估计。随着更多随机对照试验的完成,研究人员还注意到,总体平均影响可能掩盖了不同地点或个体群体的显著差异。混合方法可以提供见解,并有助于解开这些影响变化的一些原因。本文通过将混合方法集成到最近开发的概念框架中来理解影响的变化,为混合方法研究领域做出了贡献。我们在在线课程的随机对照测试的背景下对这种方法的使用进行了建模,发现不同课程的影响存在差异。
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Using Mixed Methods to Explore Variations in Impact Within RCTs: The Case of Project COMPASS
Randomized controlled trials (RCTs) in education are common as the design allows for an unbiased estimate of the overall impact of a program. As more RCTs are completed, researchers are also noting that an overall average impact may mask substantial variation across sites or groups of individuals. Mixed methods can provide insight and help in unpacking some of the reasons for these variations in impact. This article contributes to the field of mixed methods research by integrating mixed methods into a recently developed conceptual framework for understanding variations in impact. We model the use of this approach within the context of an RCT for online courses that found differences in impact across courses.
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来源期刊
Journal of Mixed Methods Research
Journal of Mixed Methods Research SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
10.40
自引率
28.20%
发文量
36
期刊介绍: The Journal of Mixed Methods Research serves as a premiere outlet for ground-breaking and seminal work in the field of mixed methods research. Of primary importance will be building an international and multidisciplinary community of mixed methods researchers. The journal''s scope includes exploring a global terminology and nomenclature for mixed methods research, delineating where mixed methods research may be used most effectively, creating the paradigmatic and philosophical foundations for mixed methods research, illuminating design and procedure issues, and determining the logistics of conducting mixed methods research. JMMR invites articles from a wide variety of international perspectives, including academics and practitioners from psychology, sociology, education, evaluation, health sciences, geography, communication, management, family studies, marketing, social work, and other related disciplines across the social, behavioral, and human sciences.
期刊最新文献
Multi-Resolution Design: Using Qualitative and Quantitative Analyses to Recursively Zoom in and out of the Same Dataset In This Issue: Artificial Intelligence, Bridging Methodological Divides Through Mixed Methods, Literature Reviews, Integration of Structural Equation Modeling and Autoethnography, and Research Problems in Mixed Methods Media Review: The Sage Handbook of Mixed Methods Research Design In This Issue: Special Issue Dedicated to Michael D. Fetters Toward a Framework for Appraising the Quality of Integration in Mixed Methods Research
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