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404
Discovery of Grounded Theory
, 1967
"... Abstract: This paper outlines my concerns with Qualitative Data Analysis ’ (QDA) numerous remodelings of Grounded Theory (GT) and the subsequent eroding impact. I cite several examples of the erosion and summarize essential elements of classic GT methodology. It is hoped that the article will clarif ..."
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Cited by 2637 (13 self)
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Abstract: This paper outlines my concerns with Qualitative Data Analysis ’ (QDA) numerous remodelings of Grounded Theory (GT) and the subsequent eroding impact. I cite several examples of the erosion and summarize essential elements of classic GT methodology. It is hoped that the article will clarify my concerns with the continuing enthusiasm but misunderstood embrace of GT by QDA methodologists and serve as a preliminary guide to novice researchers who wish to explore the fundamental principles of GT. Key words: grounded theory, qualitative data analysis, constant comparative method, theoretical
Mixed methods research: A research paradigm whose time has come
- EDUCATIONAL RESEARCHER
, 2004
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Toward a Definition of Mixed Methods Research
- JOURNAL OF MIXED METHODS RESEARCH 2007; 1; 112
, 2007
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Revisiting the quantitative–qualitative debate: Implications for mixed-methods research.
- Quality and Quantity,
, 2002
"... Abstract. Health care research includes many studies that combine quantitative and qualitative methods. In this paper, we revisit the quantitative-qualitative debate and review the arguments for and against using mixed-methods. In addition, we discuss the implications stemming from our view, that t ..."
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Cited by 92 (0 self)
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Abstract. Health care research includes many studies that combine quantitative and qualitative methods. In this paper, we revisit the quantitative-qualitative debate and review the arguments for and against using mixed-methods. In addition, we discuss the implications stemming from our view, that the paradigms upon which the methods are based have a different view of reality and therefore a different view of the phenomenon under study. Because the two paradigms do not study the same phenomena, quantitative and qualitative methods cannot be combined for cross-validation or triangulation purposes. However, they can be combined for complementary purposes. Future standards for mixed-methods research should clearly reflect this recommendation.
Mixed methods research designs in counseling psychology.
- Journal of Counseling Psychology,
, 2005
"... With the increased popularity of qualitative research, researchers in counseling psychology are expanding their methodologies to include mixed methods designs. These designs involve the collection, analysis, and integration of quantitative and qualitative data in a single or multiphase study. This ..."
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Cited by 91 (2 self)
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With the increased popularity of qualitative research, researchers in counseling psychology are expanding their methodologies to include mixed methods designs. These designs involve the collection, analysis, and integration of quantitative and qualitative data in a single or multiphase study. This article presents an overview of mixed methods research designs. It defines mixed methods research, discusses its origins and philosophical basis, advances steps and procedures used in these designs, and identifies 6 different types of designs. Important design features are illustrated using studies published in the counseling literature. Finally, the article ends with recommendations for designing, implementing, and reporting mixed methods studies in the literature and for discussing their viability and continued usefulness in the field of counseling psychology.
Barriers to integrating quantitative and qualitative research
- Journal of Mixed Methods Research
, 2007
"... The online version of this article can be found at: ..."
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Cited by 90 (2 self)
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The online version of this article can be found at:
Methodological fit in management field research. Acad. Management Rev. Forthcoming
, 2006
"... Methodological fit, an implicitly valued attribute of high-quality field research in organizations, has received little attention in the management literature. Fit refers to internal consistency among elements of a research project—research question, prior work, research design, and theoretical cont ..."
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Cited by 86 (1 self)
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Methodological fit, an implicitly valued attribute of high-quality field research in organizations, has received little attention in the management literature. Fit refers to internal consistency among elements of a research project—research question, prior work, research design, and theoretical contribution. We introduce a contingency framework that relates prior work to the design of a research project, paying particular attention to the question of when to mix qualitative and quantitative data in a single research paper. We discuss implications of the framework for educating new field researchers. To advance management theory, a growing number of scholars are engaging in field research, studying real people, real problems, and real organizations. Although the potential relevance of field research is motivating, the research journey can be messy and inefficient, fraught with logistical hurdles and unexpected events. Researchers manage complex relationships with sites, cope with constraints on sample selection and timing of data collection, and often confront mid-project changes to planned research designs. With these additional challenges, the logic of a research design and how it supports the development of a specific theoretical contribution can be obscured or altered along the way in field research. Compared to experimental studies, analyses of published data sets, or computer simulations, achieving fit between the type of data collected in and the theoretical contribution of a given field research project is a dynamic and challenging process.
Combining qualitative and quantitative sampling, data collection, and analysis techniques in mixed-method studies
- Research in Nursing and Health
, 2000
"... Abstract: Researchers have increasingly turned to mixed-method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These tech-niques are neit ..."
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Cited by 78 (0 self)
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Abstract: Researchers have increasingly turned to mixed-method techniques to expand the scope and improve the analytic power of their studies. Yet there is still relatively little direction on and much confusion about how to combine qualitative and quantitative techniques. These tech-niques are neither paradigm- nor method-linked; researchers ’ orientations to inquiry and their methodological commitments will influence how they use them. Examples of sampling combina-tions include criterion sampling from instrument scores, random purposeful sampling, and strat-ified purposeful sampling. Examples of data collection combinations include the use of instru-ments for fuller qualitative description, for validation, as guides for purposeful sampling, and as elicitation devices in interviews. Examples of data analysis combinations include interpretively linking qualitative and quantitative data sets and the transformation processes of qualitizing and
Evaluating Computer-Supported Cooperative Work: Models and Frameworks
- In Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work
, 2004
"... Evaluating distributed CSCW applications is a difficult endeavor. Frameworks and methodologies for structuring this type of evaluation have become a central concern for CSCW researchers. In this paper we describe the problems involved in evaluating remote collaborations, and we review some of the mo ..."
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Cited by 73 (7 self)
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Evaluating distributed CSCW applications is a difficult endeavor. Frameworks and methodologies for structuring this type of evaluation have become a central concern for CSCW researchers. In this paper we describe the problems involved in evaluating remote collaborations, and we review some of the more prominent conceptual frameworks of group interaction that have driven CSCW evaluation in the past. A multifaceted evaluation framework is presented that approaches the problem from the relationships underlying joint awareness, communication, collaboration, coordination, and work coupling. Finally, recommendations for carrying out multifaceted evaluations of remote interaction are provided.
An array of qualitative data analysis tools: A call for data analysis triangulation
- School Psychology Quarterly
, 2007
"... One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizin ..."
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Cited by 64 (1 self)
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One of the most important steps in the qualitative research process is analysis of data. The purpose of this article is to provide elements for understanding multiple types of qualitative data analysis techniques available and the importance of utilizing more than one type of analysis, thus utilizing data analysis triangulation, in order to understand phenomenon more fully for school psychology research and beyond. The authors describe seven quali-tative analysis tools: methods of constant comparison, keywords-in-context, word count, classical content analysis, domain analysis, taxonomic analysis, and componential analysis. Then, the authors outline when to use each type of analysis. In so doing, the authors use real qualitative data to help distin-guish the various types of analyses. Furthermore, flowcharts and tables are provided to help delineate when to choose each type of analysis. Finally, the role of computer-assisted software in the qualitative data-analytic process is discussed. As such, use of the analyses outlined in this article should help to promote rigor in qualitative research.
