Mixed Methods

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 595242 Experts worldwide ranked by ideXlab platform

John W. Creswell - One of the best experts on this subject based on the ideXlab platform.

  • Mixed Methods and survey research in family medicine and community health
    Family Medicine and Community Health, 2019
    Co-Authors: John W. Creswell, Mariko Hirose
    Abstract:

    Many family medicine and community health researchers use surveys as an original research methodology. Our purpose is to illustrate how survey research provides an important form of quantitative research that can be effectively combined with qualitative data to form a Mixed Methods study. We first provide an overview of the key principles in survey research and in Mixed Methods research. We review the various ways that survey can be used in Mixed Methods studies, citing options such as beginning a study with a survey, using a survey as the second form of data collection, or combining a survey and a form of qualitative data in a single data collection procedure. Finally, we illustrate in a specific example six steps in conducting a Mixed Methods study using survey research. In a Mixed Methods study using a survey, primary care researchers should consider six steps. Step 1. Articulate the rationale for Mixed Methods study. Step 2. Detail quantitative and qualitative databases. Step 3. Identify a Mixed Methods design. Step 4. Analyse and report the results of the quantitative and qualitative databases. Step 5. Present and show integration. Step 6. Explicate the value of using Mixed Methods. The ability to combine and integrate survey research into a Mixed Methods study provides a more rigorous approach to research than conducting only a survey or conducting just a qualitative interview. While requiring skills beyond traditional survey approaches, surveys in primary care offers an opportunity for a high level of sophistication in research methodology.

  • development of a self rated Mixed Methods skills assessment the national institutes of health Mixed Methods research training program for the health sciences
    Journal of Continuing Education in The Health Professions, 2017
    Co-Authors: Timothy C Guetterman, John W. Creswell, Felipe Gonzalez Castro, Marsha N Wittink, Frances K Barg, Britt Dahlberg, Daphne C Watkins, Charles Deutsch, Joseph J Gallo
    Abstract:

    The Mixed Methods Research Training Program for the Health Sciences is supported by the Office of Behavioral and Social Sciences Research under Grant R25MH104660-01.

  • integrating quantitative and qualitative results in health science Mixed Methods research through joint displays
    Annals of Family Medicine, 2015
    Co-Authors: Timothy C Guetterman, Michael D. Fetters, John W. Creswell
    Abstract:

    PURPOSE Mixed Methods research is becoming an important methodology to investigate complex health-related topics, yet the meaningful integration of qualitative and quantitative data remains elusive and needs further development. A promising innovation to facilitate integration is the use of visual joint displays that bring data together visually to draw out new insights. The purpose of this study was to identify exemplar joint displays by analyzing the various types of joint displays being used in published articles. Methods We searched for empirical articles that included joint displays in 3 journals that publish state-of-the-art Mixed Methods research. We analyzed each of 19 identified joint displays to extract the type of display, Mixed Methods design, purpose, rationale, qualitative and quantitative data sources, integration approaches, and analytic strategies. Our analysis focused on what each display communicated and its representation of Mixed Methods analysis. RESULTS The most prevalent types of joint displays were statistics-by-themes and side-by-side comparisons. Innovative joint displays connected findings to theoret - ical frameworks or recommendations. Researchers used joint displays for conver- gent, explanatory sequential, exploratory sequential, and intervention designs. We identified exemplars for each of these designs by analyzing the inferences gained through using the joint display. Exemplars represented Mixed Methods integration, presented integrated results, and yielded new insights. CONCLUSIONS Joint displays appear to provide a structure to discuss the inte- grated analysis and assist both researchers and readers in understanding how Mixed Methods provides new insights. We encourage researchers to use joint dis- plays to integrate and represent Mixed Methods analysis and discuss their value.

  • the use of mixing procedure of Mixed Methods in health services research
    Medical Care, 2013
    Co-Authors: Wanqing Zhang, John W. Creswell
    Abstract:

    Background:Mixed Methods research has emerged alongside qualitative and quantitative approaches as an important tool for health services researchers. Despite growing interest, among health services researchers, in using Mixed Methods designs, little has been done to identify the procedural aspects o

  • Achieving integration in Mixed Methods designs - Principles and practices
    Health Services Research, 2013
    Co-Authors: Michael D. Fetters, Leslie A. Curry, John W. Creswell
    Abstract:

    Mixed Methods research offers powerful tools for investigating complex processes and systems in health and health care. This article describes integration principles and practices at three levels in Mixed Methods research and provides illustrative examples. Integration at the study design level occurs through three basic Mixed method designs-exploratory sequential, explanatory sequential, and convergent-and through four advanced frameworks-multistage, intervention, case study, and participatory. Integration at the Methods level occurs through four approaches. In connecting, one database links to the other through sampling. With building, one database informs the data collection approach of the other. When merging, the two databases are brought together for analysis. With embedding, data collection and analysis link at multiple points. Integration at the interpretation and reporting level occurs through narrative, data transformation, and joint display. The fit of integration describes the extent the qualitative and quantitative findings cohere. Understanding these principles and practices of integration can help health services researchers leverage the strengths of Mixed Methods.

Timothy C Guetterman - One of the best experts on this subject based on the ideXlab platform.

  • contemporary approaches to Mixed Methods grounded theory research a field based analysis
    Journal of Mixed Methods Research, 2019
    Co-Authors: Timothy C Guetterman, Wayne A Babchuk, Michelle Howell Smith, Jared Stevens
    Abstract:

    Key scholars have lauded benefits of integrating Mixed Methods and grounded theory—or Mixed Methodsgrounded theory (MM-GT)—yet there have been few attempts to ascertain in what ways researchers us...

  • contemporary approaches to Mixed Methods grounded theory research a field based analysis
    Journal of Mixed Methods Research, 2019
    Co-Authors: Timothy C Guetterman, Wayne A Babchuk, Michelle Howell Smith, Jared Stevens
    Abstract:

    Key scholars have lauded benefits of integrating Mixed Methods and grounded theory—or Mixed Methodsgrounded theory (MM-GT)—yet there have been few attempts to ascertain in what ways researchers use MM-GT. Our aim was to systematically, but not exhaustively, examine applications of MM-GT and offer procedural guidelines. We identified 61 empirical MM-GT articles and developed a codebook for analysis. MM-GT was widely used across disciplines. Most published MM-GT provided little methodological detail regarding grounded theory, Mixed Methods, and their integration; theoretical development was noticeably absent; and the majority followed a convergent Mixed Methods design. This inquiry contributes to emerging discussions regarding the ways in which MM-GT can or should be used to more fully realize the potential of this approach.

  • development of a self rated Mixed Methods skills assessment the national institutes of health Mixed Methods research training program for the health sciences
    Journal of Continuing Education in The Health Professions, 2017
    Co-Authors: Timothy C Guetterman, John W. Creswell, Felipe Gonzalez Castro, Marsha N Wittink, Frances K Barg, Britt Dahlberg, Daphne C Watkins, Charles Deutsch, Joseph J Gallo
    Abstract:

    The Mixed Methods Research Training Program for the Health Sciences is supported by the Office of Behavioral and Social Sciences Research under Grant R25MH104660-01.

  • integrating quantitative and qualitative results in health science Mixed Methods research through joint displays
    Annals of Family Medicine, 2015
    Co-Authors: Timothy C Guetterman, Michael D. Fetters, John W. Creswell
    Abstract:

    PURPOSE Mixed Methods research is becoming an important methodology to investigate complex health-related topics, yet the meaningful integration of qualitative and quantitative data remains elusive and needs further development. A promising innovation to facilitate integration is the use of visual joint displays that bring data together visually to draw out new insights. The purpose of this study was to identify exemplar joint displays by analyzing the various types of joint displays being used in published articles. Methods We searched for empirical articles that included joint displays in 3 journals that publish state-of-the-art Mixed Methods research. We analyzed each of 19 identified joint displays to extract the type of display, Mixed Methods design, purpose, rationale, qualitative and quantitative data sources, integration approaches, and analytic strategies. Our analysis focused on what each display communicated and its representation of Mixed Methods analysis. RESULTS The most prevalent types of joint displays were statistics-by-themes and side-by-side comparisons. Innovative joint displays connected findings to theoret - ical frameworks or recommendations. Researchers used joint displays for conver- gent, explanatory sequential, exploratory sequential, and intervention designs. We identified exemplars for each of these designs by analyzing the inferences gained through using the joint display. Exemplars represented Mixed Methods integration, presented integrated results, and yielded new insights. CONCLUSIONS Joint displays appear to provide a structure to discuss the inte- grated analysis and assist both researchers and readers in understanding how Mixed Methods provides new insights. We encourage researchers to use joint dis- plays to integrate and represent Mixed Methods analysis and discuss their value.

Jared Stevens - One of the best experts on this subject based on the ideXlab platform.

Michael D. Fetters - One of the best experts on this subject based on the ideXlab platform.

  • the iterative convergent design for mobile health usability testing Mixed Methods approach
    Jmir mhealth and uhealth, 2019
    Co-Authors: Meshari F Alwashmi, John Hawboldt, Erin Davis, Michael D. Fetters
    Abstract:

    Although patients express an interest in using mobile health (mHealth) interventions to manage their health and chronic conditions, many current mHealth interventions are difficult to use. Usability testing is critical for the success of novel mHealth interventions. Researchers recognize the utility of using qualitative and quantitative approaches for usability testing, but many mHealth researchers lack the awareness of integration approaches from advances in Mixed Methods research that can add value to mHealth technology. As efficient usability testing proceeds iteratively, we introduce a novel Mixed Methods design developed specifically for mHealth researchers. The iterative convergent Mixed Methods design involves simultaneous qualitative and quantitative data collection and analysis that continues cyclically through multiple rounds of Mixed Methods data collection and analysis until the mHealth technology under evaluation is found to work to the satisfaction of the researcher. In cyclical iterations, early development is more qualitatively driven but progressively becomes more quantitatively driven. Using this design, mHealth researchers can leverage Mixed Methods integration procedures in the research question, data collection, data analysis, interpretation, and dissemination dimensions. This study demonstrates how the iterative convergent Mixed Methods design provides a novel framework for generating unique insights into multifaceted phenomena impacting mHealth usability. Understanding these practices can help developers and researchers leverage the strengths of an integrated Mixed Methods design.

  • analysis of novel care management programs in primary care an example of Mixed Methods in health services research
    Journal of Mixed Methods Research, 2019
    Co-Authors: Jodi Summers Holtrop, Lee A Green, Georges Potworowski, Michael D. Fetters
    Abstract:

    While health services researchers are using Mixed Methods research in large-scale studies with “big data” and incorporating data transformation for merging qualitative and quantitative data sets, these developments are not widely known to the broader Mixed Methods research community. Our purpose in this article is to introduce health services research to the broader Mixed Methods audience, to examine the potential for novel innovations in Mixed Methods research procedures, and to illustrate these points through a project on care management that used a convergent Mixed Methods design. In addition to traditional analytical procedures, we illustrate two qualitative to quantitative data transformation procedures, one using normalization process theory and a second, fuzzy set qualitative comparative analysis.

  • Mixed Methods research prevalence studies field specific studies on the state of the art of Mixed Methods research
    Journal of Mixed Methods Research, 2016
    Co-Authors: Jose F Molinaazorin, Michael D. Fetters
    Abstract:

    The Journal of Mixed Methods Research (JMMR) has always welcomed two main kinds of manuscripts: original empirical articles and methodological/theoretical articles (Creswell & Tashakkori, 2007; Fetters & Freshwater, 2015a; Mertens, 2011). Both types of articles must clearly state methodological aims, review Mixed Methods literature relative to the methodological aim, and advance the field of Mixed Methods—empirical articles must address integration (Fetters & Freshwater, 2015b). In this editorial, our purpose is to provide insight into a specific type of methodological/theoretical article welcome at the journal, namely, Mixed Methods research (MMR) prevalence studies. Our purpose here is to situate where MMR prevalence studies fit into the overall MMR methodological literature and to review essential elements needed in rigorous MMR prevalence articles to be successful at JMMR.

  • integrating quantitative and qualitative results in health science Mixed Methods research through joint displays
    Annals of Family Medicine, 2015
    Co-Authors: Timothy C Guetterman, Michael D. Fetters, John W. Creswell
    Abstract:

    PURPOSE Mixed Methods research is becoming an important methodology to investigate complex health-related topics, yet the meaningful integration of qualitative and quantitative data remains elusive and needs further development. A promising innovation to facilitate integration is the use of visual joint displays that bring data together visually to draw out new insights. The purpose of this study was to identify exemplar joint displays by analyzing the various types of joint displays being used in published articles. Methods We searched for empirical articles that included joint displays in 3 journals that publish state-of-the-art Mixed Methods research. We analyzed each of 19 identified joint displays to extract the type of display, Mixed Methods design, purpose, rationale, qualitative and quantitative data sources, integration approaches, and analytic strategies. Our analysis focused on what each display communicated and its representation of Mixed Methods analysis. RESULTS The most prevalent types of joint displays were statistics-by-themes and side-by-side comparisons. Innovative joint displays connected findings to theoret - ical frameworks or recommendations. Researchers used joint displays for conver- gent, explanatory sequential, exploratory sequential, and intervention designs. We identified exemplars for each of these designs by analyzing the inferences gained through using the joint display. Exemplars represented Mixed Methods integration, presented integrated results, and yielded new insights. CONCLUSIONS Joint displays appear to provide a structure to discuss the inte- grated analysis and assist both researchers and readers in understanding how Mixed Methods provides new insights. We encourage researchers to use joint dis- plays to integrate and represent Mixed Methods analysis and discuss their value.

  • publishing a methodological Mixed Methods research article
    Journal of Mixed Methods Research, 2015
    Co-Authors: Michael D. Fetters, Dawn Freshwater
    Abstract:

    The abstract includes information about the type of Mixed Methods design and integration used. The word distribution of the abstract parallels the structure of an empirical Mixed Methods methodology paper with a 1:2:2:1 words breakdown, so for a 120 word abstract, roughly a 20:40:40:20 distribution (Figure 2). Effective manuscripts start with a statement of the methodological problem to hook the multidisciplinary readership. In this approach, authors introduce briefly the topic of research including a statement as to why it is informative for understanding the methodological issue. This is followed by stating the Mixed Methods design, the qualitative and quantitative data sources, and the type of integration used. It is preferable to mention how data were integrated. Succinctly, the article should end with a conclusion about what is known anew as a result of the research findings that was not known before. Structure of the Empirical Paper Depends on the Design Our advice draws from and builds on the sage wisdom of JMMR cofounder John W. Creswell as articulated in his recent book, ‘‘A Concise Introduction to Mixed Methods Research’’ (Creswell, 2015). Creswell notes that the structure of empirical Mixed Methods papers depend on the design. We agree with Creswell that most integration occurs in the Methods, results, and discussion. While the background of empirical Mixed Methods studies is similar regardless of the design, certain additional features are desirable in an empirical Mixed Methods paper.

Anthony J Onwuegbuzie - One of the best experts on this subject based on the ideXlab platform.

  • a typology of Mixed Methods sampling designs in social science research
    The Qualitative Report, 2015
    Co-Authors: Anthony J Onwuegbuzie, Kathleen M T Collins
    Abstract:

    This paper provides a framework for developing sampling designs in Mixed Methods research. First, we present sampling schemes that have been associated with quantitative and qualitative research. Second, we discuss sample size considerations and provide sample size recommendations for each of the major research designs for quantitative and qualitative approaches. Third, we provide a sampling design typology and we demonstrate how sampling designs can be classified according to time orientation of the components and relationship of the qualitative and quantitative sample. Fourth, we present four major crises to Mixed Methods research and indicate how each crisis may be used to guide sampling design considerations. Finally, we emphasize how sampling design impacts the extent to which researchers can generalize their findings. Key Words: Sampling Schemes, Qualitative Research, Generalization, Parallel Sampling Designs, Pairwise Sampling Designs, Subgroup Sampling Designs, Nested Sampling Designs, and Multilevel Sampling Designs

  • methodological reporting in qualitative quantitative and Mixed Methods health services research articles
    Health Services Research, 2012
    Co-Authors: Jennifer P Wisdom, Anthony J Onwuegbuzie, Mary A Cavaleri, Carla A Green
    Abstract:

    Objectives Methodologically sound Mixed Methods research can improve our understanding of health services by providing a more comprehensive picture of health services than either method can alone. This study describes the frequency of Mixed Methods in published health services research and compares the presence of methodological components indicative of rigorous approaches across Mixed Methods, qualitative, and quantitative articles.

  • a typology of Mixed Methods research designs
    Quality & Quantity, 2009
    Co-Authors: Nancy L Leech, Anthony J Onwuegbuzie
    Abstract:

    The Mixed Methods paradigm is still in its adolescence, and, thus, is still relatively unknown and confusing to many researchers. In general, Mixed Methods research represents research that involves collecting, analyzing, and interpreting quantitative and qualitative data in a single study or in a series of studies that investigate the same underlying phenomenon. Over the last several years, a plethora of research designs have been developed. However, the number of designs that currently prevail leaves the doctoral student, the beginning researcher, and even the experienced researcher who is new to the field of Mixed Methods research with the challenge of selecting optimal Mixed Methods designs. This paper presents a three-dimensional typology of Mixed Methods designs that represents an attempt to rise to the challenge of creating an integrated typology of Mixed Methods designs. An example for each design is included as well as a notation system that fits our eight-design framework.

  • Mixed Methods research in school psychology a Mixed Methods investigation of trends in the literature
    Psychology in the Schools, 2008
    Co-Authors: Heather Powell, Anthony J Onwuegbuzie, Stephanie Mihalas, Shannon M Suldo, Christine E Daley
    Abstract:

    This article illustrates the utility of Mixed Methods research (i.e., combining quantitative and qualitative techniques) to the field of school psychology. First, the use of Mixed Methods approaches in school psychology practice is discussed. Second, the Mixed Methods research process is described in terms of school psychology research. Third, the current state of affairs with respect to Mixed Methods designs in school psychology research is illustrated through a Mixed Methods analysis of the types of empirical studies published in the four leading school psychology journals between 2001 and 2005. Only 13.7% of these studies were classified as representing Mixed Methods research. We conclude that this relatively small proportion likely reflects the fact that only 3.5% of graduate-level school psychology programs appear to require that students enroll in one or more qualitative and/or Mixed Methods research courses, and only 19.3% appear to offer one or more qualitative courses as an elective. Finally, the utility of Mixed Methods research is illustrated by critiquing select monomethod (i.e., qualitative or quantitative) and Mixed Methods studies conducted on the increasingly important topic of bullying. We demonstrate how using Mixed Methods techniques results in richer data being collected, leading to a greater understanding of underlying phenomena. © 2008 Wiley Periodicals, Inc.

  • toward a definition of Mixed Methods research
    Journal of Mixed Methods Research, 2007
    Co-Authors: Burke R Johnson, Anthony J Onwuegbuzie, Lisa A Turner
    Abstract:

    The purpose of this article is to examine how the field of Mixed Methods currently is being defined. The authors asked many of the current leaders in Mixed Methods research how they define Mixed Methods research. The authors provide the leaders' definitions and discuss the content found as they searched for the criteria of demarcation. The authors provide a current answer to the question, What is Mixed Methods research? They also briefly summarize the recent history of Mixed Methods and list several issues that need additional work as the field continues to advance. They argue that Mixed Methods research is one of the three major “research paradigms” (quantitative research, qualitative research, and Mixed Methods research). The authors hope this article will contribute to the ongoing dialogue about how Mixed Methods research is defined and conceptualized by its practitioners.