{"title":"Quality guidelines for mixed methods research in intervention studies","authors":"Gizela Kopač, V. Hlebec","doi":"10.51936/mysp2698","DOIUrl":null,"url":null,"abstract":"Among researchers' many investigations of the use of mixed methods in intervention studies, more recent discussions especially concern the roles played in such studies by qualitative research, intervention phases, procedures, and integration (Gallo and Lee, 2016; Woolcock, 2018; O'Cathain, 2018; Creswell and Plano Clark, 2018). One can find the basic procedures to follow while realizing a mixed methods experimental design (Creswell and Plano Clark, 2018), practical guidance (O'Cathain, 2018) for using qualitative research with a randomized control trial (RCT), and a mixed methods appraisal tool for appraising the methodological quality of RCTs, non-randomized studies, and mixed methods – MMAT (Hong et al., 2018). However, no model exists to assess the quality of mixed methods research in intervention studies, particularly experimental and quasi-experimental research in complex interventions. Our aim is to develop such a theoretical model. Today, the number of interventions relying on mixed methods methodology is growing exponentially. A theoretical model is called for to help assess the quality of mixed methods research in intervention studies, and in this respect our aim is to: (1) provide an overview of guidelines, recommendations, models, and quality criteria for mixed methods research; (2) overview the guidelines for intervention studies; (3) give a summary of guidelines and models for mixed methods research in such studies; (4) evaluate the mentioned guidelines, models, and quality criteria; (5) identify and describe the key elements of these guidelines, models, and quality criteria; and (6) develop a theoretical model for assessing the quality of mixed methods research designs used in intervention studies.","PeriodicalId":242585,"journal":{"name":"Advances in Methodology and Statistics","volume":"157 9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Methodology and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51936/mysp2698","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Among researchers' many investigations of the use of mixed methods in intervention studies, more recent discussions especially concern the roles played in such studies by qualitative research, intervention phases, procedures, and integration (Gallo and Lee, 2016; Woolcock, 2018; O'Cathain, 2018; Creswell and Plano Clark, 2018). One can find the basic procedures to follow while realizing a mixed methods experimental design (Creswell and Plano Clark, 2018), practical guidance (O'Cathain, 2018) for using qualitative research with a randomized control trial (RCT), and a mixed methods appraisal tool for appraising the methodological quality of RCTs, non-randomized studies, and mixed methods – MMAT (Hong et al., 2018). However, no model exists to assess the quality of mixed methods research in intervention studies, particularly experimental and quasi-experimental research in complex interventions. Our aim is to develop such a theoretical model. Today, the number of interventions relying on mixed methods methodology is growing exponentially. A theoretical model is called for to help assess the quality of mixed methods research in intervention studies, and in this respect our aim is to: (1) provide an overview of guidelines, recommendations, models, and quality criteria for mixed methods research; (2) overview the guidelines for intervention studies; (3) give a summary of guidelines and models for mixed methods research in such studies; (4) evaluate the mentioned guidelines, models, and quality criteria; (5) identify and describe the key elements of these guidelines, models, and quality criteria; and (6) develop a theoretical model for assessing the quality of mixed methods research designs used in intervention studies.
在研究人员对在干预研究中使用混合方法的许多调查中,最近的讨论特别关注定性研究、干预阶段、程序和整合在这些研究中所起的作用(Gallo和Lee, 2016;Woolcock, 2018;O 'Cathain, 2018;克雷斯韦尔和普莱诺克拉克,2018)。在实现混合方法实验设计(Creswell and Plano Clark, 2018)、使用随机对照试验(RCT)进行定性研究的实用指南(O’cathain, 2018)以及用于评价随机对照试验、非随机研究和混合方法的方法学质量的混合方法评估工具mmmat (Hong et al., 2018)时,可以找到需要遵循的基本程序。然而,目前还没有模型来评估干预研究中混合方法研究的质量,特别是复杂干预的实验和准实验研究。我们的目标就是建立这样一个理论模型。今天,依靠混合方法的干预措施的数量呈指数级增长。需要一个理论模型来帮助评估干预研究中混合方法研究的质量,在这方面,我们的目标是:(1)提供混合方法研究的指导方针、建议、模型和质量标准的概述;(2)综述干预研究的指导原则;(3)总结此类研究中混合方法研究的指导原则和模型;(4)对上述指南、模型和质量标准进行评价;(5)识别并描述这些指南、模型和质量标准的关键要素;(6)建立一个理论模型,用于评估干预研究中使用的混合方法研究设计的质量。