Thematic Analysis in Qualitative Research

2022 ◽  
pp. 604-622
Author(s):  
Anindita Majumdar
Keyword(s):  
Qualitative Research ◽  
Thematic Analysis ◽  
Organizational Context ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Data Availability ◽  
Step Method ◽  
Data Set ◽  
Core Skills

The popularity of qualitative methods in social science research is a well-noted and most welcomed fact. Thematic analysis, the often-used methods of qualitative research, provides concise description and interpretation in terms of themes and patterns from a data set. The application of thematic analysis requires trained expertise and should not be used in a prescriptive, linear, and inflexible manner while analyzing data. It should rather be implemented in relation to research question and data availability. To ensure its proper usage, Braun and Clarke have propounded the simplest yet effective six-step method to conduct thematic analysis. In spite of its systematic step-driven process, thematic analysis provides core skills to conduct different other forms of qualitative analysis. Thematic analysis, through its theoretical freedom, flexibility, rich and detailed yet complex analytical account has emerged as the widely used and most effective qualitative research tool in social and organizational context.

Thematic Analysis in Qualitative Research

2019 ◽  
pp. 197-220 ◽  
Author(s):  
Anindita Majumdar
Keyword(s):  
Qualitative Research ◽  
Thematic Analysis ◽  
Organizational Context ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Data Availability ◽  
Step Method ◽  
Data Set ◽  
Core Skills

The popularity of qualitative methods in social science research is a well-noted and most welcomed fact. Thematic analysis, the often-used methods of qualitative research, provides concise description and interpretation in terms of themes and patterns from a data set. The application of thematic analysis requires trained expertise and should not be used in a prescriptive, linear, and inflexible manner while analyzing data. It should rather be implemented in relation to research question and data availability. To ensure its proper usage, Braun and Clarke have propounded the simplest yet effective six-step method to conduct thematic analysis. In spite of its systematic step-driven process, thematic analysis provides core skills to conduct different other forms of qualitative analysis. Thematic analysis, through its theoretical freedom, flexibility, rich and detailed yet complex analytical account has emerged as the widely used and most effective qualitative research tool in social and organizational context.

scholarly journals Has the Credibility of the Social Sciences Been Credibly Destroyed? Reanalyzing the “Many Analysts, One Data Set” Project

2021 ◽  
Vol 7 ◽  
pp. 237802312110244
Author(s):  
Katrin Auspurg ◽  
Josef Brüderl
Keyword(s):  
Social Sciences ◽  
Causal Reasoning ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Skin Tone ◽  
Data Set ◽  
The Social ◽  
The Many ◽  
Definition Of

In 2018, Silberzahn, Uhlmann, Nosek, and colleagues published an article in which 29 teams analyzed the same research question with the same data: Are soccer referees more likely to give red cards to players with dark skin tone than light skin tone? The results obtained by the teams differed extensively. Many concluded from this widely noted exercise that the social sciences are not rigorous enough to provide definitive answers. In this article, we investigate why results diverged so much. We argue that the main reason was an unclear research question: Teams differed in their interpretation of the research question and therefore used diverse research designs and model specifications. We show by reanalyzing the data that with a clear research question, a precise definition of the parameter of interest, and theory-guided causal reasoning, results vary only within a narrow range. The broad conclusion of our reanalysis is that social science research needs to be more precise in its “estimands” to become credible.

Principled Machine Learning Using the Super Learner: An Application to Predicting Prison Violence

2018 ◽  
Vol 48 (3) ◽  
pp. 698-721 ◽  
Author(s):  
Valerio Baćak ◽  
Edward H. Kennedy
Keyword(s):  
Machine Learning ◽  
Social Science ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Adaptive Methods ◽  
Prison Violence ◽  
Data Set ◽  
Super Learner ◽  
Data Adaptive

A rapidly growing number of algorithms are available to researchers who apply statistical or machine learning methods to answer social science research questions. The unique advantages and limitations of each algorithm are relatively well known, but it is not possible to know in advance which algorithm is best suited for the particular research question and the data set at hand. Typically, researchers end up choosing, in a largely arbitrary fashion, one or a handful of algorithms. In this article, we present the Super Learner—a powerful new approach to statistical learning that leverages a variety of data-adaptive methods, such as random forests and spline regression, and systematically chooses the one, or a weighted combination of many, that produces the best forecasts. We illustrate the use of the Super Learner by predicting violence among inmates from the 2005 Census of State and Federal Adult Correctional Facilities. Over the past 40 years, mass incarceration has drastically weakened prisons’ capacities to ensure inmate safety, yet we know little about the characteristics of prisons related to inmate victimization. We discuss the value of the Super Learner in social science research and the implications of our findings for understanding prison violence.

Introduction

2012 ◽  
Author(s):  
Gary Goertz ◽  
James Mahoney
Keyword(s):  
Qualitative Research ◽  
Quantitative Research ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Quantitative And Qualitative Research ◽  
The Social ◽  
The Two Cultures ◽  
Mathematical Foundations ◽  
The Relationship

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.

Feminist Qualitative Research

2020 ◽  
pp. 199-242
Author(s):  
Maureen C. McHugh
Keyword(s):  
Qualitative Research ◽  
Power Analysis ◽  
Social Science Research ◽  
Science Research ◽  
Feminist Research ◽  
Double Consciousness ◽  
Future Directions ◽  
Gender Oppression ◽  
Qualitative Approaches ◽  
Women's Lives

Feminist research is described in terms of its purposes of addressing women’s lives, advocacy for women, analysis of gender oppression, working for social justice, and transformation of society. Feminist critiques of social science research are reviewed in relation to the development of methodological and epistemological positions. Feminist research is viewed as contributing to the transformation of science from empiricism to postmodernism. Reflexivity, collaboration, power analysis, and advocacy are discussed as common practices of feminist qualitative research. Several qualitative approaches to research are described in relation to feminist research goals, with illustrations of feminist research included. Validity and voice are identified as particular challenges in the conduct of feminist qualitative research. Intersectionality and double consciousness are reviewed as feminist contributions to the transformation of science. Some emerging and innovative forms of feminist qualitative research are highlighted in relation to potential future directions.

Literature Review

2021 ◽  
pp. 158-162
Author(s):  
Mathieu Ouimet ◽  
Pierre-Olivier Bédard
Keyword(s):  
Social Sciences ◽  
Literature Review ◽  
Social Science ◽  
Research Question ◽  
Relevant Literature ◽  
Social Science Research ◽  
Science Research ◽  
The Social ◽  
Academic Researchers ◽  
Review Protocol

This chapter highlights literature review. Reviewing the published literature is one of the key activities of social science research, as a way to position one’s academic contribution, but also to get a bird’s eye view of what the relevant literature says on a given topic or research question. Many guides have been created to assist academic researchers and students in conducting a literature review, but there is no consensus on the most appropriate method to do so. One of the reasons for this lack of consensus is the plurality of epistemological attitudes that coexist in the social sciences. Before initiating a literature review, the researcher should start by clarifying the need for and the purpose of the review. Once this has been clarified, the actual review protocol, tools, and databases to be used will need to be determined to strike a balance between the scope of the study and the depth of the review.

5. Finding Answers: Theories and How to Apply Them

2020 ◽  
pp. 123-158
Author(s):  
Sandra Halperin ◽  
Oliver Heath
Keyword(s):  
Social Science ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Theoretical Framework ◽  
Different Types ◽  
Independent Variable ◽  
Key Terms ◽  
The Relationship

This chapter shows how to develop an answer to a particular research question. It first considers the requirements and components of an answer to a research question before discussing the role of ‘theory’ in social science research, what a ‘theoretical framework’ is, and what a hypothesis is. It then explores the three components of a hypothesis: an independent variable, a dependent variable, and a proposition (a statement about the relationship between the variables). It also looks at the different types of hypotheses and how they guide various kinds of research. It also explains why conceptual and operational definitions of key terms are important and how they are formulated. Finally, it offers suggestions on how to answer normative questions.

The ride-along: a journey in qualitative research

2019 ◽  
Vol 19 (2) ◽  
pp. 121-131 ◽  
Author(s):  
Marc C.A. Wegerif
Keyword(s):  
Qualitative Research ◽  
Social Science ◽  
Research Design ◽  
Food Systems ◽  
Social Science Research ◽  
Science Research ◽  
Research Experience ◽  
Content Type ◽  
Qualitative Research Methodology ◽  
Design And Practice

Purpose The purpose of this paper is to show why and how the “ride-along” can add great value to qualitative research. Design/methodology/approach The paper is primarily based on ethnographic research into food systems that the author carried out in Tanzania and draws on other research experience and existing literature on the “go-along” and “walk-along”. Findings Transport choices are made in all social science research and therefore deserve greater attention in research design. Transport will influence how the researcher is perceived and what they will experience and find. The ride-along, when done well, minimises the risks and adds value to qualitative research. Practical implications Researchers need to be reflexive about transport choices and give them greater consideration in research design and practice. The examples from field experience and the considerations identified in this paper will assist researchers and their supervisors in this process. Originality/value Despite the ubiquity of mobility in social science research, there is surprisingly little literature on the subject, especially related to the use of different modes of transport. The originality is in elaborating the importance of the ride-along and the value is in the clearly identified lessons for qualitative research methodology teaching and practice.

Feminist Qualitative Research

2014 ◽  
pp. 136-164 ◽  
Author(s):  
Maureen C. McHugh
Keyword(s):  
Qualitative Research ◽  
Power Analysis ◽  
Social Science Research ◽  
Science Research ◽  
Feminist Research ◽  
Double Consciousness ◽  
Future Directions ◽  
Gender Oppression ◽  
Qualitative Approaches ◽  
Women's Lives

Feminist research is described in terms of its purposes of knowledge about women’s lives, advocacy for women, analysis of gender oppression, and transformation of society. Feminist critiques of social science research are reviewed in relation to the development of methodological and epistemological positions. Feminist research is viewed as contributing to the transformation of science from empiricism to postmodernism. Reflexivity, collaboration, power analysis, and advocacy are discussed as common practices of feminist qualitative research. Several qualitative approaches to research are described in relation to feminist research goals, with illustrations of feminist research included. Validity and voice are identified as particular challenges in the conduct of feminist qualitative research. Intersectionality and double consciousness are reviewed as feminist contributions to transformation of science. Some emerging and innovative forms of feminist qualitative research are highlighted in relation to potential future directions.

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