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45 results in Qualitative research methods

Page 1 of 3

Designing Empirical Social Networks Research
  • Jennifer M. Larson
  • Coming soon
  • Expected online publication date:
    December 2024
    Print publication:
    31 December 2024
  • A user-friendly introductory guide to the empirical study of social networks. Jennifer M. Larson presents the fundamentals of social networks in an intuition-forward way which guides theory-driven research design. Substantial attention is devoted to a framework for developing a network theory that will steer data collection to be maximally informative and minimally frustrating. Other features include: Coverage of a range of practical topics including selecting operationalizations, cutting survey costs, and cleaning data; A tutorial for getting started in analyzing networks in R; Technical sections full of examples, points to hone intuition, and practice problems with solutions. Designing Empirical Social Networks Research will be a valuable tool for advanced undergraduates, Ph.D. students in the social sciences, especially political science, and researchers across the social sciences who are new to the study of networks.

Crime, Insecurity, and Community Policing
  • Experiments on Building Trust
  • Edited by Graeme Blair, Fotini Christia, Jeremy M. Weinstein
  • Coming soon
  • Expected online publication date:
    November 2024
    Print publication:
    30 September 2024
  • How can societies effectively reduce crime without exacerbating adversarial relationships between the police and citizens? In recent decades, perhaps the most celebrated innovation in police reform has been the introduction of community policing, where citizens are involved in building channels of dialogue and improving police-citizen collaboration. Despite the widespread adoption of community policing in the United States and increasingly in the developing world, there is still limited credible evidence about whether it realistically increases trust in the police or reduces crime. Through simultaneously coordinated field experiments in a diversity of political contexts, this book presents the outcome of a major research initiative into the efficacy of community policing. Scholars from around the world uncover whether, and under what conditions, this highly influential strategy for tackling crime and insecurity is effective. With its highly innovative approach to cumulative learning, this project represents a new frontier in the study of police reform.

The Future of Qualitative Research in Healthcare
  • The Role and Management of Digital Methods
  • Edited by Paul M.W. Hackett, Christopher M. Hayre, Dave Muller, Marcia Scherer, Ava Gordley-Smith
  • Coming soon
  • Expected online publication date:
    November 2024
    Print publication:
    31 December 2024
  • Digital methods in healthcare research have been steadily gaining ground but, until recently, were superseded by conventional face-to-face approaches wherever possible. However, the COVID-19 pandemic rendered in-person forms of data collection largely impossible, propelling digital approaches to the forefront. This book offers a digital lens in the participatory perspective of ethnography, a qualitative methodology. A series of chapters from internationally distinguished and rising authors present digital platforms and techniques and apply these to a wide range of healthcare studies. The authors highlight the different aspects of digital research approaches as well as reflecting on and proffering digital approaches to qualitative research for the future. Will these new digital health techniques be embraced, or will researchers be keen to revert to the traditional methods? With its unique approach, this is an invaluable resource for both prospective and experienced qualitative researchers in a broad array of medical and health disciplines.

Collaborate Now!
  • How Expertise Becomes Useful in Civic Life
  • Adam Seth Levine
  • Published online:
    14 March 2024
    Print publication:
    21 March 2024
  • Those who seek change in civic life have much in common: they each bring valuable expertise to the table and need to strategize with others about what to do. That's why new collaborative relationships between diverse thinkers are essential. Yet they're difficult to form. Collaborate Now! presents a new argument about why that is, along with tools to foster them anew. As with any form of voluntary civic engagement, these relationships require time and motivation. Yet on top of that, collaborators often start off as strangers, and are uncertain about relationality: whether they'll relate to each other in ways that are meaningful and brimming with interaction. Using case studies, field experiments, interviews, and observational data, this book provides a rich understanding of the collaborative relationships needed to tackle civic challenges, how uncertainty about relationality can produce an unmet desire for them, and actionable tools to surface and meet this desire.

Set-Theoretic Multi-Method Research
  • A Guide to Combining QCA and Case Studies
  • Carsten Q. Schneider
  • Published online:
    22 February 2024
    Print publication:
    29 February 2024
  • A state-of-the-art comprehensive exposition of combining Qualitative Comparative Analysis (QCA) and case studies, this book facilitates the efficient use and independent learning of this form of SMMR (set-theoretic multi-method research) with the best available software. It will reduce the time and effort required when performing both QCA and case studies within the same research project. This is achieved by spelling out the conceptual principles and practices in SMMR, and by introducing a tailor-made R software package. With an applied and practical focus, this is an intuitive resource for implementing the most complete protocol of SMMR. Features include Learning Goals, Core Points, and Empirical Examples, as well as boxed examples of R codes and the R output it produces. There is also a glossary for key SMMR terms. Additional online material is available, comprising machine-readable datasets and R scripts for replication and independent learning.

Regression Inside Out
  • Eric W. Schoon, David Melamed, Ronald L. Breiger
  • Published online:
    21 March 2024
    Print publication:
    22 February 2024
  • Linear regression analysis, with its many generalizations, is the predominant quantitative method used throughout the social sciences and beyond. The goal of the method is to study relations among variables. In this book, Schoon, Melamed and Breiger turn regression modeling inside out to put the emphasis on the cases (people, organizations, and nations) that comprise the variables. By re-analyzing influential published research, they reveal new insights and present a principled way to unlock a set of more nuanced interpretations than has previously been attainable. The emphasis is on intuition and examples that can be reproduced using the code and datasets provided. Relating their contributions to methodologies that operate under quite different philosophical assumptions, the authors advance multi-method social science and help to bridge the divide between quantitative and qualitative research. The result is a modern, accessible, and innovative take on extracting knowledge from data.

Pragmatism and Methodology
  • Doing Research That Matters with Mixed Methods
  • Alex Gillespie, Vlad Glăveanu, Constance de Saint Laurent
  • Published online:
    04 January 2024
    Print publication:
    25 January 2024
  • Taking a pragmatist approach to methods and methodology that fosters meaningful, impactful, and ethical research, this book rises to the challenge of today's data revolution. It shows how pragmatism can turn challenges, such as the abundance and accumulation of big qualitative data, into opportunities. The authors summarize the pragmatist approach to different aspects of research, from epistemology, theory, and questions to ethics, as well as data collection and analysis. The chapters outline and document a new type of mixed methods design called 'multi-resolution research,” which serves to overcome old divides between quantitative and qualitative methods. It is the ideal resource for students and researchers within the social and behavioural sciences seeking new ways to analyze large sets of qualitative data. This book is also available as Open Access on Cambridge Core.

Integrated Inferences
  • Causal Models for Qualitative and Mixed-Method Research
  • Macartan Humphreys, Alan M. Jacobs
  • Published online:
    13 October 2023
    Print publication:
    30 November 2023
  • There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question.

Cambridge Handbook of Qualitative Digital Research
  • Edited by Boyka Simeonova, Robert D. Galliers
  • Published online:
    08 June 2023
    Print publication:
    22 June 2023
  • Big data and algorithmic decision-making have been touted as game-changing developments in management research, but they have their limitations. Qualitative approaches should not be cast aside in the age of digitalisation, since they facilitate understanding of quantitative data and the questioning of assumptions and conclusions that may otherwise lead to faulty implications being drawn, and - crucially - inaccurate strategies, decisions and actions. This handbook comprises three parts: Part I highlights many of the issues associated with 'unthinking digitalisation', particularly concerning the overreliance on algorithmic decision-making and the consequent need for qualitative research. Part II provides examples of the various qualitative methods that can be usefully employed in researching various digital phenomena and issues. Part III introduces a range of emergent issues concerning practice, knowing, datafication, technology design and implementation, data reliance and algorithms, digitalisation.

Combining Case Study Designs for Theory Building
  • A New Sourcebook for Rigorous Social Science Researchers
  • Lakshmi Balachandran Nair, Michael Gibbert, Bareerah Hafeez Hoorani
  • Published online:
    02 February 2023
    Print publication:
    09 February 2023
  • Case study research is a versatile approach that allows for different data sources to be combined, with its main purpose being theory development. This book goes a step further by combining different case study research designs, informed by the authors' extensive teaching and research experience. It provides an accessible introduction to case study research, familiarizes readers with different archetypical and sequenced designs, and describes these designs and their components using both real and fictional examples. It provides thought-provoking exercises, and in doing so, prepares the reader to design their own case study in a way that suits the research objective. Written for an academic audience, this book is useful for students, their supervisors and professors, and ultimately any researcher who intends to use, or is already using, the case study approach.

Social Media as Social Science Data
  • Steven Lloyd Wilson
  • Published online:
    03 November 2022
    Print publication:
    17 November 2022
  • Social media has put mass communication in the hands of normal people on an unprecedented scale, and has also given social scientists the tools necessary to listen to the voices of everyday people around the world. This book gives social scientists the skills necessary to leverage that opportunity, and transform social media's vast stream of information into social science data. The book combines the big data techniques of computer science with social science methodology. Intended as a text for advanced undergraduates, graduate students, and researchers in the social sciences, this book provides a methodological pathway for scholars who want to make use of this new and evolving source of data. It provides a framework for building one's own data collection and analysis infrastructure, a toolkit of content analysis, geographic analysis, and network analysis, and meditations on the ethical implications of social media data.

Finding your Social Science Project
  • The Research Sandbox
  • John Gerring, Jason Seawright
  • Published online:
    06 October 2022
    Print publication:
    13 October 2022
  • The most important step in social science research is the first step – finding a topic. Unfortunately, little guidance on this crucial and difficult challenge is available. Methodological studies and courses tend to focus on theory testing rather than theory generation. This book aims to redress that imbalance. The first part of the book offers an overview of the book's central concerns. How do social scientists arrive at ideas for their work? What are the different ways in which a study can contribute to knowledge in a field? The second part of the book offers suggestions about how to think creatively, including general strategies for finding a topic and heuristics for discovery. The third part of the book shows how data exploration may assist in generating theories and hypotheses. The fourth part of the book offers suggestions about how to fashion disparate ideas into a theory.

Experimental Thinking
  • A Primer on Social Science Experiments
  • James N. Druckman
  • Published online:
    12 May 2022
    Print publication:
    12 May 2022
  • Experiments are a central methodology in the social sciences. Scholars from every discipline regularly turn to experiments. Practitioners rely on experimental evidence in evaluating social programs, policies, and institutions. This book is about how to “think” about experiments. It argues that designing a good experiment is a slow moving process (given the host of considerations) which is counter to the current fast moving temptations available in the social sciences. The book includes discussion of the place of experiments in the social science process, the assumptions underlying different types of experiments, the validity of experiments, the application of different designs, how to arrive at experimental questions, the role of replications in experimental research, and the steps involved in designing and conducting “good” experiments. The goal is to ensure social science research remains driven by important substantive questions and fully exploits the potential of experiments in a thoughtful manner.

The Case for Case Studies
  • Methods and Applications in International Development
  • Edited by Jennifer Widner, Michael Woolcock, Daniel Ortega Nieto
  • Published online:
    05 May 2022
    Print publication:
    26 May 2022
  • This book seeks to narrow two gaps: first, between the widespread use of case studies and their frequently 'loose' methodological moorings; and second, between the scholarly community advancing methodological frontiers in case study research and the users of case studies in development policy and practice. It draws on the contributors' collective experience at this nexus, but the underlying issues are more broadly relevant to case study researchers and practitioners in all fields. How does one prepare a rigorous case study? When can causal inferences reasonably be drawn from a single case? When and how can policy-makers reasonably presume that a demonstrably successful intervention in one context might generate similarly impressive outcomes elsewhere, or if massively 'scaled up'? No matter their different starting points – disciplinary base, epistemological orientation, sectoral specialization, or practical concerns – readers will find issues of significance for their own field, and others across the social sciences. This title is also available Open Access.

Good Science
  • Psychological Inquiry as Everyday Moral Practice
  • Joshua W. Clegg
  • Published online:
    06 January 2022
    Print publication:
    20 January 2022
  • Good Science is an account of psychological research emphasizing the moral foundations of inquiry. This volume brings together existing disciplinary critiques of scientism, objectivism, and instrumentalism, and then discusses how these contribute to institutionalized privilege and to less morally responsive research practices. The author draws on historical, critical, feminist, and science studies traditions to provide an alternative account of psychological science and to highlight the irreducibly moral foundations of everyday scientific practice. This work outlines a theoretical framework for thinking about and practicing psychology in ways that center moral responsibility, collective commitment, and justice. The book then applies this framework, describing psychological research practices in terms of the their moral dilemmas. Also included are materials meant to aid in methods instruction and mentoring.

Qualitative Comparative Analysis Using R
  • A Beginner's Guide
  • Ioana-Elena Oana, Carsten Q. Schneider, Eva Thomann
  • Published online:
    07 October 2021
    Print publication:
    28 October 2021
  • A comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software. This guide facilitates the efficient teaching, independent learning, and use of QCA with the best available software, reducing the time and effort required when encountering not just the logic of a new method, but also new software. With its applied and practical focus, the book offers a genuinely simple and intuitive resource for implementing the most complete protocol of QCA. To make the lives of students, teachers, researchers, and practitioners as easy as possible, the book includes learning goals, core points, empirical examples, and tips for good practices. The freely available online material provides a rich body of additional resources to aid users in their learning process. Beyond performing core analyses with the R package QCA, the book also facilitates a close integration with the R package SetMethods allowing for a host of additional protocols for building a more solid and well-rounded QCA.

Rethinking Comparison
  • Innovative Methods for Qualitative Political Inquiry
  • Edited by Erica S. Simmons, Nicholas Rush Smith
  • Published online:
    24 September 2021
    Print publication:
    07 October 2021
  • Qualitative comparative methods – and specifically controlled qualitative comparisons – are central to the study of politics. They are not the only kind of comparison, though, that can help us better understand political processes and outcomes. Yet there are few guides for how to conduct non-controlled comparative research. This volume brings together chapters from more than a dozen leading methods scholars from across the discipline of political science, including positivist and interpretivist scholars, qualitative methodologists, mixed-methods researchers, ethnographers, historians, and statisticians. Their work revolutionizes qualitative research design by diversifying the repertoire of comparative methods available to students of politics, offering readers clear suggestions for what kinds of comparisons might be possible, why they are useful, and how to execute them. By systematically thinking through how we engage in qualitative comparisons and the kinds of insights those comparisons produce, these collected essays create new possibilities to advance what we know about politics.

Rapid Ethnographies
  • A Practical Guide
  • Cecilia Vindrola-Padros
  • Published online:
    26 November 2020
    Print publication:
    21 January 2021
  • Rapid ethnographies are used in a wide range of fields to speed up research quickly and effectively. This book is the first practical guide to rapid ethnographies, helping readers to improve skills in the design, implementation, dissemination and use of findings generated through rapid ethnographic research. It gives advice and guidelines for carrying out rapid and rigorous research and provides details of tools used in the field. Vignettes reflecting on the author's research are included throughout, including observations on research carried out during the COVID-19 pandemic, to highlight how challenges of conducting rapid ethnographies can be overcome. Case studies across a range of subjects are also included, to demonstrate how rapid ethnographies can be applied in practice. With its useful tools and easy-to-read format, it will be used by teachers and students, as well as researchers wanting to successfully implement rapid ethnographies in their own work.

Living in Networks
  • The Dynamics of Social Relations
  • Claire Bidart, Alain Degenne, Michel Grossetti
  • Published online:
    27 October 2020
    Print publication:
    22 October 2020
  • How do personal networks emerge from social contexts? How do these evolve during the course of a lifetime? How are relationships established, maintained, connected, disrupted? How does the structure of a network evolve as people face transitions and events? Based on a classic text originally published in France and that has become the standard on the empirical study of social networks there, for the first time, a network analysis perspective is extended from contexts and social circles to relationships and life events through empirical studies. Following in the tradition of personal network studies, this contribution to the field of structural analysis in Sociology offers both a synthesis of knowledge and original results from two immense surveys carried out in France. This volume proposes an original theory grounded in relational dynamics, offering novel perspectives on individual social relations over the course of a lifetime through the context of personal networks, access to social resources, and inequalities.

Comparing Cultures
  • Innovations in Comparative Ethnography
  • Edited by Michael Schnegg, Edward D. Lowe
  • Published online:
    08 May 2020
    Print publication:
    28 May 2020
  • A new and important contribution to the re-emergent field of comparative anthropology, this book argues that comparative ethnographic methods are essential for more contextually sophisticated accounts of a number of pressing human concerns today. The book includes expert accounts from an international team of scholars, showing how these methods can be used to illuminate important theoretical and practical projects. Illustrated with examples of successful inter-disciplinary projects, it highlights the challenges, benefits, and innovative strategies involved in working collaboratively across disciplines. Through its focus on practical methodological and logistical accounts, it will be of value to both seasoned researchers who seek practical models for conducting their own cutting-edge comparative research, and to teachers and students who are looking for first-person accounts of comparative ethnographic research.

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