scholarly journals Quality guidelines for mixed methods research in intervention studies

2020 ◽  
Vol 17 (2) ◽  
Author(s):  
Gizela Kopač ◽  
Valentina Hlebec

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.

2018 ◽  
Vol 13 (4) ◽  
pp. 424-445 ◽  
Author(s):  
Sergi Fàbregues ◽  
Marie-Hélène Paré ◽  
Julio Meneses

The purpose of this qualitative multiple case study is to describe and compare how researchers in the education, nursing, psychology, and sociology disciplines operationalize and conceptualize the quality of mixed methods research (MMR). An international sample of 44 MMR researchers representing these four disciplines were interviewed. The study findings point to (a) two perspectives from which the quality of MMR is understood, one contingent and flexible and the other universal and fixed; (b) a relationship between these two perspectives and the participants’ discipline; and (c) a similar occurrence, both in terms of nature and frequency, of the MMR quality criteria most mentioned by the participants across disciplines. Implications of the findings for the field of MMR are discussed.


Author(s):  
Jeasik Cho

This chapter discusses three ongoing issues related to the evaluation of qualitative research. First, the chapter considers whether a set of evaluation criteria is either determinative or changeable. Due to the evolving nature of qualitative research, it is likely that the way in which qualitative research is evaluated can change—not all at once, but gradually. Second, qualitative research has been criticized by newly resurrected positivists whose definitions of scientific research and evaluation criteria are narrow. “Politics of evidence” and a recent big-tent evaluation strategy are examined. Last, this chapter analyzes how validity criteria of qualitative research are incorporated into the evaluation of mixed methods research. The elements of qualitative research seem to be fairly represented but are largely treated as trivial. A criterion, the fit of research questions to design, is identified as distinctive in the review guide of the Journal of Mixed Methods Research.


2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Peter C. Emary ◽  
Kent J. Stuber ◽  
Lawrence Mbuagbaw ◽  
Mark Oremus ◽  
Paul S. Nolet ◽  
...  

Abstract Background Mixed methods designs are increasingly used in health care research to enrich findings. However, little is known about the frequency of use of this methodology in chiropractic research, or the quality of reporting among chiropractic studies using mixed methods. Objective To quantify the use and quality of mixed methods in chiropractic research, and explore the association of study characteristics (e.g., authorship, expertise, journal impact factor, country and year of publication) with reporting quality. Methods We will conduct a systematic search of MEDLINE, EMBASE, CINAHL, and the Index to Chiropractic Literature to identify all chiropractic mixed methods studies published from inception of each database to December 31, 2020. Articles reporting the use of both qualitative and quantitative methods, or mixed qualitative methods, will be included. Pairs of reviewers will perform article screening, data extraction, risk of bias with the Mixed Methods Appraisal Tool (MMAT), and appraisal of reporting quality using the Good Reporting of A Mixed Methods Study (GRAMMS) guideline. We will explore the correlation between GRAMMS and MMAT scores, and construct generalized estimating equations to explore factors associated with reporting quality. Discussion This will be the first methodological review to examine the reporting quality of published mixed methods studies involving chiropractic research. The results of our review will inform opportunities to improve reporting in chiropractic mixed methods studies. Our results will be disseminated in a peer-reviewed publication and presented publicly at conferences and as part of a doctoral thesis.


2010 ◽  
pp. 19-34
Author(s):  
Graham Scambler

This paper starts by characterizing conventional notions of quantitative ‘versus' qualitative research and considers their potential displacement by ‘mixed-methods' research. The claim that mixed-methods research is necessarily an advance on its predecessors is critiqued. Using a critical realist approach favouring retroductive and abductive rather than inductive and deductive research strategies, it is suggested that the theoretical dimension implicit in all research is too often neglected. It is further contended that ‘making a case' empirically amounts to much the same things as ‘making a case' theoretically. More ‘metareflection' is commended. Brief references is made to the literature on health inequalities to add some flesh to the bones of the argument.


Author(s):  
Roger Baran

The complimentary nature of qualitative and quantitative research methods are examined with respect to a study assessing the market's view of a training and development institute in the Middle East. The qualitative portion consisted of focus groups conducted with seven distinct market segments served by the institute. The results proved insightful with respect to uncovering and understanding differences of opinion among the seven groups; however, taken alone, the qualitative research would have been very misleading with respect to the institute's standing in the Middle East.


2016 ◽  
Vol 23 (9) ◽  
pp. 764-769 ◽  
Author(s):  
Liam J Caffery ◽  
Melinda Martin-Khan ◽  
Victoria Wade

Mixed methods research is important to health services research because the integrated qualitative and quantitative investigation can give a more comprehensive understanding of complex interventions such as telehealth than can a single-method study. Further, mixed methods research is applicable to translational research and program evaluation. Study designs relevant to telehealth research are described and supported by examples. Quality assessment tools, frameworks to assist in the reporting and review of mixed methods research, and related methodologies are also discussed.


2021 ◽  
Vol 10 (10(6)) ◽  
pp. 1794-1810
Author(s):  
CH Van Heerden

The aim of this study is to gain scientific insight into internationally-accepted criteria for quality reporting of mixed methods research (MMR). Articles published post-2012 in a particular journal, which referred to “mixed methods” and “tourism”, and reported that qualitative and quantitative data were collected, were drawn from Google Scholar and Scopus. The reporting quality of these studies was analysed according to the GRAMMS framework (Good Reporting of a Mixed Methods Study). Most of the articles in the data set did not report on all the elements embedded in GRAMMS. It must not be seen as a reflection of the quality of the MMR design itself, nor is the study flawed. It indicates gaps in the reporting of important MMR elements that could be addressed in future research. Exemplars were identified that could serve as case studies for researchers in terms of the quality of reporting on MMR. Editorial boards should adopt guidelines on how MMR could be presented in articles submitted to their journals. These guidelines could assist authors in preparing their articles to conform to international standards on the reporting of MMR studies. Peer reviewers should use the guidelines to judge the quality of reporting on MMR methodology in articles under review. This study could also serve as a future reference for researchers, postgraduate students and supervisors who aim to incorporate MMR in their research.


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