Peter Lyons and Howard J. Doueck
- Published in print:
- 2009
- Published Online:
- February 2010
- ISBN:
- 9780195373912
- eISBN:
- 9780199865604
- Item type:
- book
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195373912.001.0001
- Subject:
- Social Work, Research and Evaluation
This book is intended to be read at any stage in the dissertation process, but will be particularly useful in the early stages of preparation for a social work dissertation, and as a reference ...
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This book is intended to be read at any stage in the dissertation process, but will be particularly useful in the early stages of preparation for a social work dissertation, and as a reference resource throughout. The book is a guide to successful dissertation completion. Content includes a brief history and overview of social work doctoral education in the United States, the importance of values in social work, and the relationship between personal, research, and social work values. Chapter 2 addresses issues in selecting and working with the dissertation supervisor and committee, as well as the role and tasks of all three parties in successful completion of the dissertation. In Chapter 3 strategies for researching, and evaluating the literature, as well as writing the literature review are discussed. In addition, the relevance of theory to social work research is examined. Chapter 4 describes ethical issues in social research and requirements for the protection of human subjects. In addition, an overview of both quantitative and qualitative research methods is provided. In Chapter 5 sample design and sample size are discussed in relation to both quantitative and qualitative research. The significance of the psychometric properties of measurement instruments is also discussed. Chapter 6 addresses issues in data collection, data management, and data analysis in qualitative and quantitative research. Finally Chapter 7 presents strategies for dissertation writing including structure and content, as well as data presentation.Less
This book is intended to be read at any stage in the dissertation process, but will be particularly useful in the early stages of preparation for a social work dissertation, and as a reference resource throughout. The book is a guide to successful dissertation completion. Content includes a brief history and overview of social work doctoral education in the United States, the importance of values in social work, and the relationship between personal, research, and social work values. Chapter 2 addresses issues in selecting and working with the dissertation supervisor and committee, as well as the role and tasks of all three parties in successful completion of the dissertation. In Chapter 3 strategies for researching, and evaluating the literature, as well as writing the literature review are discussed. In addition, the relevance of theory to social work research is examined. Chapter 4 describes ethical issues in social research and requirements for the protection of human subjects. In addition, an overview of both quantitative and qualitative research methods is provided. In Chapter 5 sample design and sample size are discussed in relation to both quantitative and qualitative research. The significance of the psychometric properties of measurement instruments is also discussed. Chapter 6 addresses issues in data collection, data management, and data analysis in qualitative and quantitative research. Finally Chapter 7 presents strategies for dissertation writing including structure and content, as well as data presentation.
Michael Saini and Aron Shlonsky
- Published in print:
- 2012
- Published Online:
- May 2012
- ISBN:
- 9780195387216
- eISBN:
- 9780199932092
- Item type:
- book
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195387216.001.0001
- Subject:
- Social Work, Research and Evaluation
Qualitative synthesis within the family of systematic reviews meets an urgent need to use knowledge derived from qualitative studies to inform practice, research, and policy. Despite the contingent ...
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Qualitative synthesis within the family of systematic reviews meets an urgent need to use knowledge derived from qualitative studies to inform practice, research, and policy. Despite the contingent nature of evidence gleaned from the synthesis of qualitative studies, systematic synthesis is an important technique and, used judiciously, can deepen our understanding of the contextual dimensions that emerge from qualitative research. This book presents an overview for planning, developing, and implementing qualitative synthesis within existing protocols and guidelines for conducting systematic reviews. The book also explores methodological challenges, including: the philosophical tensions of integrating qualitative synthesis within the family of systematic reviews; the balance of comprehensive and iterative information retrieval strategies to locate and screen qualitative research; the use of appraisal tools to assess quality of qualitative studies; the various approaches to synthesize qualitative studies, including interpretive, integrated, and aggregative; and the tensions between the generalizability and transferability of findings that emerge from qualitative synthesis.Less
Qualitative synthesis within the family of systematic reviews meets an urgent need to use knowledge derived from qualitative studies to inform practice, research, and policy. Despite the contingent nature of evidence gleaned from the synthesis of qualitative studies, systematic synthesis is an important technique and, used judiciously, can deepen our understanding of the contextual dimensions that emerge from qualitative research. This book presents an overview for planning, developing, and implementing qualitative synthesis within existing protocols and guidelines for conducting systematic reviews. The book also explores methodological challenges, including: the philosophical tensions of integrating qualitative synthesis within the family of systematic reviews; the balance of comprehensive and iterative information retrieval strategies to locate and screen qualitative research; the use of appraisal tools to assess quality of qualitative studies; the various approaches to synthesize qualitative studies, including interpretive, integrated, and aggregative; and the tensions between the generalizability and transferability of findings that emerge from qualitative synthesis.
Julianne S. Oktay
- Published in print:
- 2012
- Published Online:
- May 2012
- ISBN:
- 9780199753697
- eISBN:
- 9780199932627
- Item type:
- book
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780199753697.001.0001
- Subject:
- Social Work, Research and Evaluation
Grounded Theory (GT) is one of the oldest and most often used forms of qualitative research. Unlike other methods, GT is used to develop theory. Grounded Theory has great potential for social work ...
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Grounded Theory (GT) is one of the oldest and most often used forms of qualitative research. Unlike other methods, GT is used to develop theory. Grounded Theory has great potential for social work because in order to conduct theory-based practice, social workers need middle-range theories that are neither highly abstract nor difficult to apply in real life. Social work and Grounded Theory focus on the interaction of individual and society. GT studies can provide theories about how individuals navigate their surroundings that can be tested in social work practice and, ultimately, be used to guide social work practitioners. This book provides discussions of the common roots of social work and Grounded Theory, the basic characteristics of grounded theory research, and issues of quality in grounded theory research. In addition, practical guidelines and suggestions are provided for conducting grounded theory research, from writing the proposal to advanced data analysis. Exemplars from social work literature are used to illustrate grounded theory research in different social work fields. This book offers practice exercises, guidelines for formulating problems and gathering and analyzing data, tips for working with software, consideration of ethical and institutional review board issues, and discussion of new developments such as mixed-method and synthesis.Less
Grounded Theory (GT) is one of the oldest and most often used forms of qualitative research. Unlike other methods, GT is used to develop theory. Grounded Theory has great potential for social work because in order to conduct theory-based practice, social workers need middle-range theories that are neither highly abstract nor difficult to apply in real life. Social work and Grounded Theory focus on the interaction of individual and society. GT studies can provide theories about how individuals navigate their surroundings that can be tested in social work practice and, ultimately, be used to guide social work practitioners. This book provides discussions of the common roots of social work and Grounded Theory, the basic characteristics of grounded theory research, and issues of quality in grounded theory research. In addition, practical guidelines and suggestions are provided for conducting grounded theory research, from writing the proposal to advanced data analysis. Exemplars from social work literature are used to illustrate grounded theory research in different social work fields. This book offers practice exercises, guidelines for formulating problems and gathering and analyzing data, tips for working with software, consideration of ethical and institutional review board issues, and discussion of new developments such as mixed-method and synthesis.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0001
- Subject:
- Sociology, Social Research and Statistics
This book investigates the relationship between the quantitative and qualitative research traditions in the social sciences, with a particular focus on political science and sociology. It argues that ...
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This book investigates the relationship between the quantitative and qualitative research traditions in the social sciences, with a particular focus on political science and sociology. It argues that the two traditions are alternative cultures with distinctive research procedures and practices, each having its own values, beliefs, and norms. The book considers the ways in which the traditions differ in terms of methodology, such as type of research question, mode of data analysis, and method of inference. It suggests that the two traditions draw on alternative mathematical foundations: quantitative research is grounded in inferential statistics (that is, probability and statistical theory), whereas qualitative research is (often implicitly) rooted in logic and set theory. This chapter discusses the book's approach to characterizing and comparing the two cultures of social science research and explains what is distinctive about qualitative research.Less
This book investigates the relationship between the quantitative and qualitative research traditions in the social sciences, with a particular focus on political science and sociology. It argues that the two traditions are alternative cultures with distinctive research procedures and practices, each having its own values, beliefs, and norms. The book considers the ways in which the traditions differ in terms of methodology, such as type of research question, mode of data analysis, and method of inference. It suggests that the two traditions draw on alternative mathematical foundations: quantitative research is grounded in inferential statistics (that is, probability and statistical theory), whereas qualitative research is (often implicitly) rooted in logic and set theory. This chapter discusses the book's approach to characterizing and comparing the two cultures of social science research and explains what is distinctive about qualitative research.
Denise E. Bronson and Tamara S. Davis
- Published in print:
- 2011
- Published Online:
- January 2012
- ISBN:
- 9780195337365
- eISBN:
- 9780199918201
- Item type:
- book
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195337365.001.0001
- Subject:
- Social Work, Research and Evaluation
Evidence-based practice (EBP) promises to have a profound impact on social work practice, education, and scholarship, but adopting EBP depends on the availability of evidence to support this ...
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Evidence-based practice (EBP) promises to have a profound impact on social work practice, education, and scholarship, but adopting EBP depends on the availability of evidence to support this endeavour and on strategies to synthesize this information. Systematic reviews provide a comprehensive, unbiased method for retrieving and synthesizing relevant research. Finding and Evaluating Evidence: Systematic Reviews and Evidence-based Practice is a concise introduction to systematic reviews that describes the steps required to complete a review and the criteria that can be used to assess the quality of existing reviews. This pocket guide provides straight-forward information on how to 1) define a search question that clearly defines the parameters of the problem, 2) develop a search strategy that is transparent and comprehensive to insure that all relevant research is included in the review, 3) assess the quality and credibility of existing research, and 4) summarize the available research to support EBP in social work. One of the distinguishing features of this book is that both quantitative and qualitative synthesis methods are presented, and examples are provided to illustrate the steps and decisions associated with each approach to research synthesis. This pocket guide is an excellent introduction to EBP and systematic reviews that will be valued by social work students, practitioners, and scholars.Less
Evidence-based practice (EBP) promises to have a profound impact on social work practice, education, and scholarship, but adopting EBP depends on the availability of evidence to support this endeavour and on strategies to synthesize this information. Systematic reviews provide a comprehensive, unbiased method for retrieving and synthesizing relevant research. Finding and Evaluating Evidence: Systematic Reviews and Evidence-based Practice is a concise introduction to systematic reviews that describes the steps required to complete a review and the criteria that can be used to assess the quality of existing reviews. This pocket guide provides straight-forward information on how to 1) define a search question that clearly defines the parameters of the problem, 2) develop a search strategy that is transparent and comprehensive to insure that all relevant research is included in the review, 3) assess the quality and credibility of existing research, and 4) summarize the available research to support EBP in social work. One of the distinguishing features of this book is that both quantitative and qualitative synthesis methods are presented, and examples are provided to illustrate the steps and decisions associated with each approach to research synthesis. This pocket guide is an excellent introduction to EBP and systematic reviews that will be valued by social work students, practitioners, and scholars.
Peter Lyons and Howard J. Doueck
- Published in print:
- 2009
- Published Online:
- February 2010
- ISBN:
- 9780195373912
- eISBN:
- 9780199865604
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195373912.003.0004
- Subject:
- Social Work, Research and Evaluation
This chapter describes ethical issues in social research including discussion of the NASW Code of Ethics, Institutional Review Board (IRB) processes, and requirements for the protection of human ...
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This chapter describes ethical issues in social research including discussion of the NASW Code of Ethics, Institutional Review Board (IRB) processes, and requirements for the protection of human subjects. In addition, quantitative research methods; qualitative research methods; mixed-methods research designs; experimental, quasi-experimental, explanatory, exploratory, and descriptive research; program evaluation; and the relative merits of disparate models of research are also presented. The requirements of rigor in both quantitative and qualitative studies and evaluating the degree of fit between research strategies and problems under investigation are also discussed.Less
This chapter describes ethical issues in social research including discussion of the NASW Code of Ethics, Institutional Review Board (IRB) processes, and requirements for the protection of human subjects. In addition, quantitative research methods; qualitative research methods; mixed-methods research designs; experimental, quasi-experimental, explanatory, exploratory, and descriptive research; program evaluation; and the relative merits of disparate models of research are also presented. The requirements of rigor in both quantitative and qualitative studies and evaluating the degree of fit between research strategies and problems under investigation are also discussed.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0014
- Subject:
- Sociology, Social Research and Statistics
This chapter discusses quantitative and qualitative practices of case-study selection when the goal of the analysis is to evaluate causal hypotheses. More specifically, it considers how the different ...
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This chapter discusses quantitative and qualitative practices of case-study selection when the goal of the analysis is to evaluate causal hypotheses. More specifically, it considers how the different causal models used in the qualitative and quantitative research cultures shape the kind of cases that provide the most leverage for hypothesis testing. The chapter examines whether one should select cases based on their value on the dependent variable. It also evaluates the kinds of cases that provide the most leverage for causal inference when conducting case-study research. It shows that differences in research goals between quantitative and qualitative scholars yield distinct ideas about best strategies of case selection. Qualitative research places emphasis on explaining particular cases; quantitative research does not.Less
This chapter discusses quantitative and qualitative practices of case-study selection when the goal of the analysis is to evaluate causal hypotheses. More specifically, it considers how the different causal models used in the qualitative and quantitative research cultures shape the kind of cases that provide the most leverage for hypothesis testing. The chapter examines whether one should select cases based on their value on the dependent variable. It also evaluates the kinds of cases that provide the most leverage for causal inference when conducting case-study research. It shows that differences in research goals between quantitative and qualitative scholars yield distinct ideas about best strategies of case selection. Qualitative research places emphasis on explaining particular cases; quantitative research does not.
Michael Saini and Aron Shlonsky
- Published in print:
- 2012
- Published Online:
- May 2012
- ISBN:
- 9780195387216
- eISBN:
- 9780199932092
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195387216.003.0001
- Subject:
- Social Work, Research and Evaluation
The introduction chapter of the book explores the evolution of qualitative research within the framework of evidence-based practice and its inclusion in the family of systematic reviews. This chapter ...
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The introduction chapter of the book explores the evolution of qualitative research within the framework of evidence-based practice and its inclusion in the family of systematic reviews. This chapter briefly recounts the history of qualitative systematic reviews across disciplines and within systematic review enterprises, including the Cochrane and the Campbell collaborations. Although qualitative approaches have traditionally been excluded from systematic reviews, the tides are slowly turning. There is a growing interest devoted to improving the methods for including qualitative reviews within the family of systematic reviews. Numerous approaches are now available for conducting qualitative synthesis. Methods have been developed specifically for including qualitative primary studies, whereas other methods have been created to combine quantitative and qualitative studies.Less
The introduction chapter of the book explores the evolution of qualitative research within the framework of evidence-based practice and its inclusion in the family of systematic reviews. This chapter briefly recounts the history of qualitative systematic reviews across disciplines and within systematic review enterprises, including the Cochrane and the Campbell collaborations. Although qualitative approaches have traditionally been excluded from systematic reviews, the tides are slowly turning. There is a growing interest devoted to improving the methods for including qualitative reviews within the family of systematic reviews. Numerous approaches are now available for conducting qualitative synthesis. Methods have been developed specifically for including qualitative primary studies, whereas other methods have been created to combine quantitative and qualitative studies.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0007
- Subject:
- Sociology, Social Research and Statistics
This chapter examines how the qualitative and quantitative research traditions treat within-case analysis versus cross-case analysis for causal inference. In qualitative research, the primary focus ...
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This chapter examines how the qualitative and quantitative research traditions treat within-case analysis versus cross-case analysis for causal inference. In qualitative research, the primary focus is on specific events and processes taking place within each individual case. Leading qualitative methodologies of hypothesis testing, such as process tracing and counterfactual analysis, are fundamentally methods of within-case analysis. By contrast, quantitative research traditionally involves exclusively cross-case comparison. The chapter begins with a comparison of the typical roles (or nonroles) of within-case and cross-case analysis in case studies versus experiments. It then considers how causal inference in quantitative and qualitative research is linked to the use of “data-set observations” and “causal-process observations,” respectively. It also explains the differences between process-tracing tests and statistical tests and concludes by suggesting that cross-case analysis and within-case analysis can and often should be combined.Less
This chapter examines how the qualitative and quantitative research traditions treat within-case analysis versus cross-case analysis for causal inference. In qualitative research, the primary focus is on specific events and processes taking place within each individual case. Leading qualitative methodologies of hypothesis testing, such as process tracing and counterfactual analysis, are fundamentally methods of within-case analysis. By contrast, quantitative research traditionally involves exclusively cross-case comparison. The chapter begins with a comparison of the typical roles (or nonroles) of within-case and cross-case analysis in case studies versus experiments. It then considers how causal inference in quantitative and qualitative research is linked to the use of “data-set observations” and “causal-process observations,” respectively. It also explains the differences between process-tracing tests and statistical tests and concludes by suggesting that cross-case analysis and within-case analysis can and often should be combined.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0017
- Subject:
- Sociology, Social Research and Statistics
This book concludes by reemphasizing important differences in the nature of qualitative and quantitative research—differences that extend across research design, data analysis, and causal inference. ...
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This book concludes by reemphasizing important differences in the nature of qualitative and quantitative research—differences that extend across research design, data analysis, and causal inference. While their differences are considerable, the book argues that both research cultures can complement one another in terms of explaining the social and political world. However, a fruitful collaboration between quantitative and qualitative research—one built around mutual respect and appreciation—is possible only if scholars of both traditions understand and acknowledge their differences. These differences, summarized in tables, come in the areas of individual cases, causality and causal models, populations and data, concepts and measurement, and asymmetry. The book also contends that mixing the qualitative and quantitative cultures will contribute to methodological pluralism in the social sciences.Less
This book concludes by reemphasizing important differences in the nature of qualitative and quantitative research—differences that extend across research design, data analysis, and causal inference. While their differences are considerable, the book argues that both research cultures can complement one another in terms of explaining the social and political world. However, a fruitful collaboration between quantitative and qualitative research—one built around mutual respect and appreciation—is possible only if scholars of both traditions understand and acknowledge their differences. These differences, summarized in tables, come in the areas of individual cases, causality and causal models, populations and data, concepts and measurement, and asymmetry. The book also contends that mixing the qualitative and quantitative cultures will contribute to methodological pluralism in the social sciences.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0003
- Subject:
- Sociology, Social Research and Statistics
This chapter examines two approaches used in social science research: the “causes-of-effects” approach and the “effects-of-causes” approach. The quantitative and qualitative cultures differ in the ...
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This chapter examines two approaches used in social science research: the “causes-of-effects” approach and the “effects-of-causes” approach. The quantitative and qualitative cultures differ in the extent to which and the ways in which they address causes-of-effects and effects-of-causes questions. Quantitative scholars, who favor the effects-of-causes approach, focus on estimating the average effects of particular variables within populations or samples. By contrast, qualitative scholars employ individual case analysis to explain outcomes as well as the effects of particular causal factors. The chapter first considers the type of research question addressed by both quantitative and qualitative researchers before discussing the use of within-case analysis by the latter to investigate individual cases versus cross-case analysis by the former to elucidate central tendencies in populations. It also describes the complementarities between qualitative and quantitative research that make mixed-method research possible.Less
This chapter examines two approaches used in social science research: the “causes-of-effects” approach and the “effects-of-causes” approach. The quantitative and qualitative cultures differ in the extent to which and the ways in which they address causes-of-effects and effects-of-causes questions. Quantitative scholars, who favor the effects-of-causes approach, focus on estimating the average effects of particular variables within populations or samples. By contrast, qualitative scholars employ individual case analysis to explain outcomes as well as the effects of particular causal factors. The chapter first considers the type of research question addressed by both quantitative and qualitative researchers before discussing the use of within-case analysis by the latter to investigate individual cases versus cross-case analysis by the former to elucidate central tendencies in populations. It also describes the complementarities between qualitative and quantitative research that make mixed-method research possible.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0008
- Subject:
- Sociology, Social Research and Statistics
This chapter examines how the qualitative and quantitative research traditions empirically assess theories about mechanisms when making causal inferences. In the qualitative paradigm, researchers ...
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This chapter examines how the qualitative and quantitative research traditions empirically assess theories about mechanisms when making causal inferences. In the qualitative paradigm, researchers carry out this assessment by attempting to observe causal mechanisms through process tracing and through the analysis of causal-process observations. In the qualitative paradigm, the within-case analysis of specific cases is combined with the effort to observe mechanisms. By contrast, statistical methods are not designed to observe mechanisms within particular cases. The chapter considers the importance of mechanisms in causal inference as well as the use of process tracing in multimethod vs. qualitative research. It shows that multimethod research, which integrates regression and case study analysis, is increasingly regarded as a best practice.Less
This chapter examines how the qualitative and quantitative research traditions empirically assess theories about mechanisms when making causal inferences. In the qualitative paradigm, researchers carry out this assessment by attempting to observe causal mechanisms through process tracing and through the analysis of causal-process observations. In the qualitative paradigm, the within-case analysis of specific cases is combined with the effort to observe mechanisms. By contrast, statistical methods are not designed to observe mechanisms within particular cases. The chapter considers the importance of mechanisms in causal inference as well as the use of process tracing in multimethod vs. qualitative research. It shows that multimethod research, which integrates regression and case study analysis, is increasingly regarded as a best practice.
Michael Saini and Aron Shlonsky
- Published in print:
- 2012
- Published Online:
- May 2012
- ISBN:
- 9780195387216
- eISBN:
- 9780199932092
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780195387216.003.0002
- Subject:
- Social Work, Research and Evaluation
We argue for a nonhierarchical approach to systematic reviews, where each method within the broad family of systematic reviews (e.g., meta-analysis, qualitative synthesis, rapid evidence assessments) ...
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We argue for a nonhierarchical approach to systematic reviews, where each method within the broad family of systematic reviews (e.g., meta-analysis, qualitative synthesis, rapid evidence assessments) is understood to have a complementary, unique approach based on the type of question being asked and the needs of the researcher. In this chapter, current methods for conducting qualitative syntheses are explored by presenting various models of aggregation, integration, and interpretation of qualitative findings across studies. The common link among these different models is that they all attempt to draw out findings across qualitative studies to generate new insights and understandings. Within the presentation of these models, we draw out the epistemological frameworks and underlying assumptions of each of these models to provide the reader with some direction for choosing methods for specific types of questions and purposes.Less
We argue for a nonhierarchical approach to systematic reviews, where each method within the broad family of systematic reviews (e.g., meta-analysis, qualitative synthesis, rapid evidence assessments) is understood to have a complementary, unique approach based on the type of question being asked and the needs of the researcher. In this chapter, current methods for conducting qualitative syntheses are explored by presenting various models of aggregation, integration, and interpretation of qualitative findings across studies. The common link among these different models is that they all attempt to draw out findings across qualitative studies to generate new insights and understandings. Within the presentation of these models, we draw out the epistemological frameworks and underlying assumptions of each of these models to provide the reader with some direction for choosing methods for specific types of questions and purposes.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0010
- Subject:
- Sociology, Social Research and Statistics
This chapter considers two fundamental differences between the quantitative and qualitative research traditions with respect to conceptualization and measurement: these differences are related to the ...
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This chapter considers two fundamental differences between the quantitative and qualitative research traditions with respect to conceptualization and measurement: these differences are related to the relative emphasis placed on definitions versus indicators in the two cultures. The first difference concerns the relative importance assigned to issues of concept definition versus issues of concept measurement. Qualitative researchers are centrally concerned with definitional issues and the meaning of their concepts, whereas their quantitative counterparts are more interested in the quantitative measurement of latent variables. The second difference concerns error and the coding of cases. The chapter examines how characteristics versus indicators are defined in the qualitative and quantitative research paradigms. It also discusses the relationship between “error,” which is central to all statistics, and “fuzziness,” which is important in qualitative research.Less
This chapter considers two fundamental differences between the quantitative and qualitative research traditions with respect to conceptualization and measurement: these differences are related to the relative emphasis placed on definitions versus indicators in the two cultures. The first difference concerns the relative importance assigned to issues of concept definition versus issues of concept measurement. Qualitative researchers are centrally concerned with definitional issues and the meaning of their concepts, whereas their quantitative counterparts are more interested in the quantitative measurement of latent variables. The second difference concerns error and the coding of cases. The chapter examines how characteristics versus indicators are defined in the qualitative and quantitative research paradigms. It also discusses the relationship between “error,” which is central to all statistics, and “fuzziness,” which is important in qualitative research.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0002
- Subject:
- Sociology, Social Research and Statistics
This chapter considers some key ideas from logic and set theory as they relate to qualitative research in the social sciences, including ideas concerning necessary and sufficient conditions. It also ...
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This chapter considers some key ideas from logic and set theory as they relate to qualitative research in the social sciences, including ideas concerning necessary and sufficient conditions. It also highlights a major contrast between qualitative and quantitative research: whereas quantitative research draws on mathematical tools associated with statistics and probability theory, qualitative research is often based on set theory and logic. The chapter first compares the natural language of logic in the qualitative culture with the language of probability and statistics in the quantitative culture. It then considers the necessary conditions and sufficient conditions as basis for qualitative methods, focusing on set theory and Venn diagrams, two-by-two tables, and truth tables. It also discusses the use of qualitative and quantitative aggregation techniques and concludes by explaining the criteria for assessing the “fit” of the model or the “importance” of a given causal factor.Less
This chapter considers some key ideas from logic and set theory as they relate to qualitative research in the social sciences, including ideas concerning necessary and sufficient conditions. It also highlights a major contrast between qualitative and quantitative research: whereas quantitative research draws on mathematical tools associated with statistics and probability theory, qualitative research is often based on set theory and logic. The chapter first compares the natural language of logic in the qualitative culture with the language of probability and statistics in the quantitative culture. It then considers the necessary conditions and sufficient conditions as basis for qualitative methods, focusing on set theory and Venn diagrams, two-by-two tables, and truth tables. It also discusses the use of qualitative and quantitative aggregation techniques and concludes by explaining the criteria for assessing the “fit” of the model or the “importance” of a given causal factor.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0004
- Subject:
- Sociology, Social Research and Statistics
This chapter compares two causal models used in qualitative and quantitative research: an additive-linear model and a set-theoretic model. The additive-linear causal model is common in the ...
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This chapter compares two causal models used in qualitative and quantitative research: an additive-linear model and a set-theoretic model. The additive-linear causal model is common in the statistical culture, whereas the set-theoretic model is often used (implicitly) in the qualitative culture. After providing an overview of the two causal models, the chapter considers the main differences between them. It then gives an example to illustrate how a set-theoretic causal model is implicitly used in the within-case analysis of a specific outcome. It also explains how the form of causal complexity varies across the quantitative and qualitative paradigms. Finally, it examines another difference between the causal models used in quantitative and qualitative research, one that revolves around the concept of “equifinality” or “multiple causation.” The chapter suggests that while the two causal models are quite different, neither is a priori correct.Less
This chapter compares two causal models used in qualitative and quantitative research: an additive-linear model and a set-theoretic model. The additive-linear causal model is common in the statistical culture, whereas the set-theoretic model is often used (implicitly) in the qualitative culture. After providing an overview of the two causal models, the chapter considers the main differences between them. It then gives an example to illustrate how a set-theoretic causal model is implicitly used in the within-case analysis of a specific outcome. It also explains how the form of causal complexity varies across the quantitative and qualitative paradigms. Finally, it examines another difference between the causal models used in quantitative and qualitative research, one that revolves around the concept of “equifinality” or “multiple causation.” The chapter suggests that while the two causal models are quite different, neither is a priori correct.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- book
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.001.0001
- Subject:
- Sociology, Social Research and Statistics
Some in the social sciences argue that the same logic applies to both qualitative and quantitative research methods. This book demonstrates that these two paradigms constitute different cultures, ...
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Some in the social sciences argue that the same logic applies to both qualitative and quantitative research methods. This book demonstrates that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. The book identifies and discusses major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, the book also seeks to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. The book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.Less
Some in the social sciences argue that the same logic applies to both qualitative and quantitative research methods. This book demonstrates that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. The book identifies and discusses major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, the book also seeks to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. The book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.
Frances Sheldon and Anita Sargeant
- Published in print:
- 2007
- Published Online:
- November 2011
- ISBN:
- 9780198530251
- eISBN:
- 9780191729980
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198530251.003.0010
- Subject:
- Palliative Care, Palliative Medicine Research, Patient Care and End-of-Life Decision Making
This chapter discusses other ethical and practical issues in palliative care research from the perspective of qualitative research, and serves as a complementary discussion to Chapter 2. The ...
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This chapter discusses other ethical and practical issues in palliative care research from the perspective of qualitative research, and serves as a complementary discussion to Chapter 2. The discussion also aims to help researchers think through some of the challenges posed in qualitative research projects, so that they are not defeated by these challenges and are able to work from a clear ethical base.Less
This chapter discusses other ethical and practical issues in palliative care research from the perspective of qualitative research, and serves as a complementary discussion to Chapter 2. The discussion also aims to help researchers think through some of the challenges posed in qualitative research projects, so that they are not defeated by these challenges and are able to work from a clear ethical base.
Michele Crossley
- Published in print:
- 2007
- Published Online:
- November 2011
- ISBN:
- 9780198530251
- eISBN:
- 9780191729980
- Item type:
- chapter
- Publisher:
- Oxford University Press
- DOI:
- 10.1093/acprof:oso/9780198530251.003.0011
- Subject:
- Palliative Care, Palliative Medicine Research, Patient Care and End-of-Life Decision Making
This chapter discusses how qualitative research should be evaluated. It presents a number of quantitative research reviews, which reinforce the view that evidence from quantitative research, ...
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This chapter discusses how qualitative research should be evaluated. It presents a number of quantitative research reviews, which reinforce the view that evidence from quantitative research, particularly randomized controlled trials, represents the highest level of research evidence. It also highlights the aims and objectives of certain perspectives, which differ from quantitative approaches, and articulates the criteria relevant to an assessment of their quality.Less
This chapter discusses how qualitative research should be evaluated. It presents a number of quantitative research reviews, which reinforce the view that evidence from quantitative research, particularly randomized controlled trials, represents the highest level of research evidence. It also highlights the aims and objectives of certain perspectives, which differ from quantitative approaches, and articulates the criteria relevant to an assessment of their quality.
Gary Goertz and James Mahoney
- Published in print:
- 2012
- Published Online:
- October 2017
- ISBN:
- 9780691149707
- eISBN:
- 9781400845446
- Item type:
- chapter
- Publisher:
- Princeton University Press
- DOI:
- 10.23943/princeton/9780691149707.003.0016
- Subject:
- Sociology, Social Research and Statistics
This chapter focuses on scope conditions in qualitative and quantitative research. It begins with a simple example, Hooke's law from physics, to illustrate the concept of “scope.” It then considers ...
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This chapter focuses on scope conditions in qualitative and quantitative research. It begins with a simple example, Hooke's law from physics, to illustrate the concept of “scope.” It then considers some of the most popular “within-model” responses to causal heterogeneity problems, showing that the option of changing the causal model to address causal heterogeneity issues is more attractive to quantitative researchers than to qualitative researchers. It also examines how the existence of causal complexity and concerns about fit with data can lead scholars to use scope conditions. Finally, it discusses the relationship between empirical testing and the proposed scope of theories and suggests that issues of scope raise Fundamental Tradeoffs in social science research, including tradeoffs concerning the tension between generality and parsimony, and between generality and issues of model fit.Less
This chapter focuses on scope conditions in qualitative and quantitative research. It begins with a simple example, Hooke's law from physics, to illustrate the concept of “scope.” It then considers some of the most popular “within-model” responses to causal heterogeneity problems, showing that the option of changing the causal model to address causal heterogeneity issues is more attractive to quantitative researchers than to qualitative researchers. It also examines how the existence of causal complexity and concerns about fit with data can lead scholars to use scope conditions. Finally, it discusses the relationship between empirical testing and the proposed scope of theories and suggests that issues of scope raise Fundamental Tradeoffs in social science research, including tradeoffs concerning the tension between generality and parsimony, and between generality and issues of model fit.
