Using Mixed Methods to Explore Variations in Impact Within RCTs: The Case of Project COMPASS

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
{"title":"Using Mixed Methods to Explore Variations in Impact Within RCTs: The Case of Project COMPASS","authors":"Julie A. Edmunds, Dora Gicheva, Beth Thrift, M. Hull","doi":"10.1177/15586898211033144","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":47844,"journal":{"name":"Journal of Mixed Methods Research","volume":"16 1","pages":"478 - 499"},"PeriodicalIF":3.8000,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mixed Methods Research","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/15586898211033144","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
引用次数: 3

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1