Graduate Students’ Current Practices for Writing a Mixed Methods Research Study Abstract: An Examination of Doctoral Dissertation and Master’s Thesis Abstracts in the ProQuest Dissertations and Theses GlobalTM Database

2020 ◽  
pp. 110-128
Author(s):  
Sinem Toraman ◽  
Kyle Cox ◽  
Vicki L. Plano Clark ◽  
Jacinda K. Dariotis
Keyword(s):  
Mixed Methods ◽  
Graduate Students ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Added Value ◽  
Research Approach ◽  
Global Database ◽  
Reporting Practices ◽  
Qualitative And Quantitative ◽  
Doctoral Dissertations

As an emergent research approach, mixed methods research (MMR) is receiving increasing attention in graduate student preparation. Despite growing trends in the prevalence of mixed methods research across disciplines and the extensive methodological literature about this approach, little is known about the actual MMR practices of graduate students, such as writing an abstract. To address this gap, this methodological review used qualitative and quantitative approaches to examine 869 abstracts of doctoral dissertations and master’s theses that were labeled as MMR and published between 2013 and 2018 in the ProQuest Dissertations and Theses Global database. The results of this study indicated that a great number of institutions and disciplines have supported the use of MMR in doctoral dissertations and master’s theses. In addition, we found that the prevalence of MMR elements in the abstracts of culminating projects was highly varied. MMR element prevalence analysis revealed relatively common (e.g., qualitative methods, quantitative methods, mixed methods design) and relatively uncommon (e.g., sequence/timing of qualitative and quantitative strands, mixed methods rationale, priority, integration techniques, added value of using MMR) reporting practices. Implications for faculty involved in graduate education and mixed methods researchers are discussed.

scholarly journals The untapped potential of mixed-methods research approaches for German history education research

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Manuel Köster ◽  
Holger Thünemann
Keyword(s):  
Education Research ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
History Education ◽  
Added Value ◽  
German History ◽  
Research Approach ◽  
German Studies ◽  
Qualitative Approaches

Despite some pioneering studies, mixed-methods research approaches are uncommon in the German history education community, in contrast to the general increase in mixed-methods research in the educational and social sciences. Conversely, German history education research currently appears to favour quantitative methods as opposed to qualitative approaches – at least in larger research projects. In this paper, we argue for a more inclusive research approach combining qualitative and quantitative methods. Discussion of a pioneering study from the 1980s (Jeismann et al ., 1987) highlights implementation of this unusual approach to history education research in Germany. To illuminate the added value of such a mixed-methods research approach, we discuss two published German studies that respectively rely on quantitative (Trautwein et al ., 2017) and qualitative (Köster, 2013) research methods. A mixed-methods approach might have illuminated each study's 'blind spots'.

Mixed Methods Research

2017 ◽  
Author(s):  
Daphne C. Watkins
Keyword(s):  
Social Work ◽  
Mixed Methods ◽  
Data Integration ◽  
Social Workers ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Social Work Research ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Single Study

Mixed methods research integrates both qualitative and quantitative methods into a single study to produce a more inclusive and expansive understanding of a topic. This article defines mixed methods in social work research, and discusses design notation, language, popular mixed methods designs, and data integration. Using mixed methods provides an opportunity for social workers to take advantage of the strengths of both qualitative and quantitative approaches and to offset their weaknesses. It is important that social workers engaged in mixed methods research maximize the interpretation of their findings and articulate the advantages of using mixed methods over qualitative or quantitative methods alone. Given the unique features of the profession, it is imperative that social workers carve out a distinctive mixed methods niche for social work researchers and practitioners.

scholarly journals Multiple Perspectives on Mixing Methods: A Review of Bergman’s Advances in Mixed Methods Research: Theory and Applications

2016 ◽  
Author(s):  
Nisaratana Sangasubana
Keyword(s):  
Mixed Methods ◽  
Graduate Students ◽  
Mixed Methods Research ◽  
Multiple Perspectives ◽  
Methodological Issues ◽  
Qualitative And Quantitative ◽  
Growing Body ◽  
Quantitative Approaches

More books on mixed methods research have been published recently. One notable contribution to this growing body of work is Bergman’s 2008 Advances in Mixed Methods Research: Theories and Applications. This edited work features contributions by different researchers and addresses a myriad of issues ranging from the need to re-conceptualize the paradigmatic differences between qualitative and quantitative approaches to methodological issues and challenges. This book should prove useful to researchers and graduate students interested in mixed methods designs.

Retroductive Theorizing: A Contribution of Critical Realism to Mixed Methods Research

2021 ◽  
pp. 155868982110498
Author(s):  
Ferdinand C. Mukumbang
Keyword(s):  
Social Sciences ◽  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Critical Realism ◽  
Pragmatic Approach ◽  
Hypothesis Formation ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Broad Complex

Mixed methods studies in social sciences are predominantly employed to explore broad, complex, and multifaceted issues and to evaluate policies and interventions. The integration of qualitative and quantitative methods in social sciences most often follows the Peircean pragmatic approach—abductive hypothesis formation followed by deductive and inductive testing/confirmation—with limited theorizing properties. This paper contributes to the field of mixed methods research in social sciences by explicating a two-way interaction process between mixed methods data and [social] theory in a pluralistic inferencing approach espoused by critical realism—retroductive theorizing. The paper further illustrates how through retroductive theorizing, critical realism offers a more epistemologically and ontologically grounded alternative for integrating qualitative and quantitative methods compared to pragmatism.

scholarly journals Innovations in Mixed Methods Evaluations

2019 ◽  
Vol 40 (1) ◽  
pp. 423-442 ◽  
Author(s):  
Lawrence A. Palinkas ◽  
Sapna J. Mendon ◽  
Alison B. Hamilton
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Intervention Program ◽  
Rapid Assessment ◽  
Evaluation Research ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Implementation Studies ◽  
Effectiveness Studies

Mixed methods research—i.e., research that draws on both qualitative and quantitative methods in varying configurations—is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness, and implementation. The article begins with an overview of the structure, function, and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness–implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or “quantitizing”) qualitative data, application of rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling, particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.

scholarly journals Mixed Methods in CAM Research: A Systematic Review of Studies Published in 2012

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Felicity L. Bishop ◽  
Michelle M. Holmes
Keyword(s):  
Mixed Methods ◽  
Complementary Medicine ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Mixed Methods Design ◽  
Quality Appraisal ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Appraisal Tool

Background. Mixed methods research uses qualitative and quantitative methods together in a single study or a series of related studies.Objectives. To review the prevalence and quality of mixed methods studies in complementary medicine.Methods. All studies published in the top 10 integrative and complementary medicine journals in 2012 were screened. The quality of mixed methods studies was appraised using a published tool designed for mixed methods studies.Results. 4% of papers (95 out of 2349) reported mixed methods studies, 80 of which met criteria for applying the quality appraisal tool. The most popular formal mixed methods design was triangulation (used by 74% of studies), followed by embedded (14%), sequential explanatory (8%), and finally sequential exploratory (5%). Quantitative components were generally of higher quality than qualitative components; when quantitative components involved RCTs they were of particularly high quality. Common methodological limitations were identified. Most strikingly, none of the 80 mixed methods studies addressed the philosophical tensions inherent in mixing qualitative and quantitative methods.Conclusions and Implications. The quality of mixed methods research in CAM can be enhanced by addressing philosophical tensions and improving reporting of (a) analytic methods and reflexivity (in qualitative components) and (b) sampling and recruitment-related procedures (in all components).

scholarly journals Extending understandings

2021 ◽  
Vol 26 ◽  
pp. 96-108
Author(s):  
Katrina McChesney
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Culturally Responsive ◽  
Quantitative Methods ◽  
Wicked Problems ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Theory Generation ◽  
Research In Education

Mixed methods research is increasingly popular both within and beyond education because of the advantages offered by combining qualitative and quantitative methods. Some mixed methods research, however, does not fully harness the potential or depth that mixed methods has to offer. In this article, I consider some of this potential in terms of how mixed methods research can contribute to addressing “wicked problems,” theory generation, and culturally responsive research. I then discuss two important considerations for quality mixed methods research: appropriate paradigmatic foundations and the genuine integration of qualitative and quantitative components. The article is intended to provide both provocations and resources for those learning about, teaching about, considering, using, or contributing to mixed methods research in education.

scholarly journals GAME-BASED BACKHAND TENNIS TECHNIQUE LEARNING MODEL TO IMPROVE LEARNING OUTCOMES

2021 ◽  
Vol 12 (04) ◽  
pp. 269-280
Author(s):  
Dio Alif Airlangga Daulay ◽  
Iman Sulaiman ◽  
Fatah Nurdin
Keyword(s):  
Learning Outcomes ◽  
Mixed Methods Research ◽  
Quantitative Methods ◽  
Learning Model ◽  
Average Score ◽  
Research Approach ◽  
Research Subjects ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Post Test

The purpose of this study is to find out a learning model using a game-based tennis backhand skill model. The method used is  Research & Development with mixed methods research approach that combines qualitative and quantitative methods. It is intended to be able to reach or process all data or information so that a comprehensive explanation will be obtained. The number of samples as many as 20 respondents.  The steps taken in the trial include: (1) establishing a group of research subjects (2) Carrying out Pretest (3) trying the model that has been developed (4) carrying out  post-test  (5) looking for the average score of pretest  and  posttest and compared between the two (6) looking for the differences between the two averages through statistical methods (t-test) to find out whether or not there is a significant influence of the use of the model.  The conclusion of this study is that  game-based tennis  backhand  learning model can be developed and applied in the process of learning backhand  techniques of tennis effectively and efficiently.  

Triangulation

2021 ◽  
pp. 292-296
Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Quantitative Research ◽  
Quantitative Methods ◽  
Historical Evolution ◽  
Historical Overview ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Consensual Definition ◽  
Insight Into

This chapter looks at triangulation, which is classically defined as looking at one research object from different perspectives. However, this large and consensual definition masks different approaches to triangulation and ignores its historical evolution since its emergence in social sciences literature. To gain a better insight into its current definitions, the chapter first proposes a brief historical overview and highlight its different meanings. It then illustrates how triangulation can be used in a research design in order to gain extra knowledge. Finally, the chapter talks about mixed-methods research and its relationship with triangulation. In the context of the tensions opposing qualitative and quantitative research, triangulation is used by mixed-methods research to justify that qualitative and quantitative methods should systematically be articulated.

Exploring Groupness—A Mixed Methods Imitation Game Inquiry

2020 ◽  
pp. 96-109
Author(s):  
Otto Segersven ◽  
Ilkka Arminen ◽  
Mika Simonen
Keyword(s):  
Mixed Methods ◽  
Mixed Methods Research ◽  
Mixed Data ◽  
Research Approach ◽  
Imitation Game ◽  
Group Boundaries ◽  
Qualitative And Quantitative ◽  
Data Collection Instrument ◽  
Group Members ◽  
Group Construction

This article describes the use of a mixed methods research approach to explore the dynamics of social group construction with Imitation Game experiments. More specifically, we analyzed in which ways, and how effectively, people draw boundaries in social interaction. That is, we studied ways in which people distinguish between group members and outsiders. Our study included a group of active Christians (n = 20) and non-religious individuals (n = 19) in Finland. We conceptualized the Imitation Game as a mixed data collection instrument because it combines both qualitative and quantitative data in an integrated manner. As part of our analysis, we introduce an indicator called the Sequential Identification Ratio (SIR), which is an indicator of how accurately participants draw boundaries in the Imitation Game. The results based on the SIR indicate that group boundaries are established with 4 different strategies: experiential, epistemic, axiological, and linguistic. Finally, we show how a mixed methods researcher can conduct a form of quantitizing to use both quantitative and qualitative aspects of Imitation Game data.

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