Alan Bryman

Bio: Alan Bryman is an academic researcher from University of Leicester. The author has contributed to research in topics: Qualitative research & Quantitative research. The author has an hindex of 63, co-authored 172 publications receiving 56907 citations. Previous affiliations of Alan Bryman include Loughborough University.

Social Research Methods

Abstract: PART ONE ; 1. The nature and process of social research ; 2. Social research strategies: quantitative research and qualitative research ; 3. Research designs ; 4. Planning a research project and formulating research questions ; Getting started: reviewing the literature ; 6. Ethics and politics in social research ; PART TWO ; 7. The nature of quantitative research ; 8. Sampling in quantitative research ; 9. Structured interviewing ; 10. Self-administered questionnaires ; 11. Asking questions ; 12. Structured observation ; 13. Content analysis ; 14. Using existing data ; 15. Quantitative data analysis ; 16. Using IBM SPSS for Windows ; PART THREE ; 17. The nature of qualitative research ; 18. Sampling in qualitative research ; 19. Ethnography and participant observation ; 20. Interviewing in qualitative research ; 21. Focus groups ; 22. Language in qualitative research ; 23. Documents as sources of data ; 24. Qualitative data analysis ; 25. Computer-assisted qualitative data analysis: using NVivo ; PART FOUR ; 26. Breaking down the quantitative/qualitative divide ; 27. Mixed methods research: combining quantitative and qualitative research ; 28. Writing up social research

Business Research Methods

Abstract: PART 1 1. Business research strategies 2. Research designs 3. Planning a research project and formulating research questions 4. Getting Started: reviewing the literature 5. Ethics in business research PART 2 6. The nature of quantitative research 7. Sampling 8. Structured interviewing 9. Self-completion questionnaires 10. Asking questions 11. Structured observation 12. Content analysis 13. Secondary analysis and official statistics 14. Quantitative data analysis 15. Using SPSS for Windows PART 3 16. The nature of qualitative research 17. Ethnography and participant observation 18. Interviewing in qualitative research 19. Focus groups 20. Language in qualitative research 21. Documents as sources of data 22. Qualitative data analysis 23. Computer-assisted qualitative data analysis: Using NVivo PART 4 24. Breaking down the quantitative/qualitative divide 25. Combining quantitative and qualitative research 26. Internet research methods 27. Writing up business research

Integrating quantitative and qualitative research: how is it done?

Abstract: This article seeks to move beyond typologies of the ways in which quantitative and qualitative research are integrated to an examination of the ways that they are combined in practice. The article is based on a content analysis of 232 social science articles in which the two were combined. An examination of the research methods and research designs employed suggests that on the quantitative side structured interview and questionnaire research within a cross-sectional design tends to predominate, while on the qualitative side the semi-structured interview within a cross-sectional design tends to predominate. An examination of the rationales that are given for employing a mixed-methods research approach and the ways it is used in practice indicates that the two do not always correspond. The implications of this finding for how we think about mixed-methods research are outlined.

Quantity and quality in social research

Abstract: This book focuses upon the debate about quantitative and qualitative research which took root in the 1960s, although many of the central themes go back centuries. The basic terms of the debate have been felt in many of the disciplines which make up the social sciences, especially sociology, social psychology, education research, organization studies, and evaluation research.

Social Research Methods, 4th Edition

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Using thematic analysis in psychology

Abstract: Thematic analysis is a poorly demarcated, rarely acknowledged, yet widely used qualitative analytic method within psychology. In this paper, we argue that it offers an accessible and theoretically flexible approach to analysing qualitative data. We outline what thematic analysis is, locating it in relation to other qualitative analytic methods that search for themes or patterns, and in relation to different epistemological and ontological positions. We then provide clear guidelines to those wanting to start thematic analysis, or conduct it in a more deliberate and rigorous way, and consider potential pitfalls in conducting thematic analysis. Finally, we outline the disadvantages and advantages of thematic analysis. We conclude by advocating thematic analysis as a useful and flexible method for qualitative research in and beyond psychology.

How Many Interviews Are Enough?: An Experiment with Data Saturation and Variability

Abstract: Guidelines for determining nonprobabilistic sample sizes are virtually nonexistent. Purposive samples are the most commonly used form of nonprobabilistic sampling, and their size typically relies on the concept of “saturation,” or the point at which no new information or themes are observed in the data. Although the idea of saturation is helpful at the conceptual level, it provides little practical guidance for estimating sample sizes, prior to data collection, necessary for conducting quality research. Using data from a study involving sixty in-depth interviews with women in two West African countries, the authors systematically document the degree of data saturation and variability over the course of thematic analysis. They operationalize saturation and make evidence-based recommendations regarding nonprobabilistic sample sizes for interviews. Based on the data set, they found that saturation occurred within the first twelve interviews, although basic elements for metathemes were present as early as six...

Mixed Methods Research: A Research Paradigm Whose Time Has Come

Abstract: The purposes of this article are to position mixed methods research (mixed research is a synonym) as the natural complement to traditional qualitative and quantitative research, to present pragmatism as offering an attractive philosophical partner for mixed methods research, and to provide a framework for designing and conducting mixed methods research. In doing this, we briefly review the paradigm “wars” and incompatibility thesis, we show some commonalities between quantitative and qualitative research, we explain the tenets of pragmatism, we explain the fundamental principle of mixed research and how to apply it, we provide specific sets of designs for the two major types of mixed methods research (mixed-model designs and mixed-method designs), and, finally, we explain mixed methods research as following (recursively) an eight-step process. A key feature of mixed methods research is its methodological pluralism or eclecticism, which frequently results in superior research (compared to monomethod resear...