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Author: Preya Bhattacharya
Publisher: CRC Press
ISBN: 1040024459
Category : Mathematics
Languages : en
Pages : 147
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Book Description
In the last few years, Qualitative Comparative Analysis (QCA) has become one of the most important research approaches in social science. This has encouraged researchers to apply QCA, to analyze cross-sectional and panel data, leading to the development of a variety of cross-sectional and panel data QCA models. This book compares four different panel data QCA models: Cluster QCA, Multiple Sub-QCA, Remote-Proximate Panel, and Relevant Variation Panel. It starts by introducing QCA as a research approach, then discusses the assumptions, and steps in a QCA research process. It then applies these assumptions and steps to demonstrate each of the 4 afore-mentioned panel data QCA models. Each chapter also provides a step-by-step guide, that researchers can follow while building any of these 4 panel data QCA models. Finally, it compares the strengths and weaknesses of each of these models and suggests scenarios where researchers can apply them. This book is supplemented by materials like datasets and codes, available at the end of each chapter, and online on Harvard Dataverse. This book can be used as a textbook for introductory and advanced courses on panel data QCA.
Author: Preya Bhattacharya
Publisher: CRC Press
ISBN: 1040024459
Category : Mathematics
Languages : en
Pages : 147
Get Book Here
Book Description
In the last few years, Qualitative Comparative Analysis (QCA) has become one of the most important research approaches in social science. This has encouraged researchers to apply QCA, to analyze cross-sectional and panel data, leading to the development of a variety of cross-sectional and panel data QCA models. This book compares four different panel data QCA models: Cluster QCA, Multiple Sub-QCA, Remote-Proximate Panel, and Relevant Variation Panel. It starts by introducing QCA as a research approach, then discusses the assumptions, and steps in a QCA research process. It then applies these assumptions and steps to demonstrate each of the 4 afore-mentioned panel data QCA models. Each chapter also provides a step-by-step guide, that researchers can follow while building any of these 4 panel data QCA models. Finally, it compares the strengths and weaknesses of each of these models and suggests scenarios where researchers can apply them. This book is supplemented by materials like datasets and codes, available at the end of each chapter, and online on Harvard Dataverse. This book can be used as a textbook for introductory and advanced courses on panel data QCA.
Author: Preya Bhattacharya
Publisher:
ISBN: 9781032470962
Category : Mathematics
Languages : en
Pages : 0
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Book Description
This book discusses and compares four different approaches towards analyzing panel data in QCA. It starts by introducing QCA as a research approach, then discusses the most important assumptions, and steps like set-calibration and theory-testing, and finally demonstrates each of the four panel data approaches, in separate chapters. Each chapter provides a step-by-step guide, including codes, sample data, and analysis results, that researchers can follow while building a panel data QCA model. Finally, it compares the strengths and weaknesses of each of these models and suggests scenarios where researchers can apply it. This book is supplemented by online RStudio materials, like datasets, codes, and Markdown documents for each chapter, and can be used as a textbook for introductory and advanced courses on panel-data QCA. Key features: Describes what panel data QCA is, and its main assumptions. Demonstrates the three approaches and main steps of building a panel data QCA model. Includes examples with data and R code to describe each of these steps.
Author: Adrian Duşa
Publisher: Springer
ISBN: 3319756680
Category : Political Science
Languages : en
Pages : 289
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Book Description
This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by the author, facilitates QCA within a graphical user interface. This book provides the most current information on the latest version of the QCA package, which combines written commands with a cross-platform interface. Beginning with a brief introduction to the concept of QCA, this book moves from theory to calibration, from analysis to factorization, and hits on all the key areas of QCA in between. Chapters one through three are introductory, familiarizing the reader with R, the QCA package, and elementary set theory. The next few chapters introduce important applications of the package beginning with calibration, analysis of necessity, analysis of sufficiency, parameters of fit, negation and factorization, and the construction of Venn diagrams. The book concludes with extensions to the classical package, including temporal applications and panel data. Providing a practical introduction to an increasingly important research tool for the social sciences, this book will be indispensable for students, scholars, and practitioners interested in conducting qualitative research in political science, sociology, business and management, and evaluation studies.
Author: Peter Hupe
Publisher: Edward Elgar Publishing
ISBN: 1786437635
Category : Bureaucracy
Languages : en
Pages : 537
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Book Description
When the objectives of public policy programmes have been formulated and decided upon, implementation seems just a matter of following instructions. However, it is underway to the realization of those objectives that public policies get their final substance and form. Crucial is what happens in and around the encounter between public officials and individual citizens at the street level of government bureaucracy. This Research Handbook addresses the state of the art while providing a systematic exploration of the theoretical and methodological issues apparent in the study of street-level bureaucracy and how to deal with them.
Author: Associate Professor of Political Science Jennifer Cyr
Publisher: Oxford University Press
ISBN: 0197633145
Category : Political Science
Languages : en
Pages : 505
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Book Description
In Doing Good Qualitative Research, Jennifer Cyr and Sara Wallace Goodman bring together over forty experts to provide one of the first comprehensive introductions to using qualitative methods across the social sciences, from start to finish. Each chapter introduces the theoretical considerations and best practices involved in the application of qualitative data collection and analysis. Additionally, contributors provide first-person accounts of methodology in action, address the expected and unexpected challenges associated with conducting qualitative research, and demonstrate the real-world applications of academic debates.
Author: Alrik Thiem
Publisher: Springer Science & Business Media
ISBN: 1461445841
Category : Political Science
Languages : en
Pages : 109
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Book Description
Social science theory often builds on sets and their relations. Correlation-based methods of scientific enquiry, however, use linear algebra and are unsuited to analyzing set relations. The development of Qualitative Comparative Analysis (QCA) by Charles Ragin has given social scientists a formal tool for identifying set-theoretic connections based on Boolean algebra. As a result, interest in this method has markedly risen among social scientists in recent years. This book offers the first complete introduction on how to perform QCA in the R software environment for statistical computing and graphics with the QCA package. Developed as a comprehensive solution, QCA provides an unprecedented scope of functionality for analyzing crisp, multi-value and fuzzy sets. The reader is not required to have knowledge of R, but the book assumes an understanding of the fundamentals of QCA. Using examples from published work, the authors demonstrate how to make the most of QCA’s wide-ranging capabilities for the reader’s own purposes. Although mainly written for political scientists, this book is also of interest to scholars from other disciplines in the social sciences such as sociology, business, management, organization, anthropology, education and health.
Author: Emily St.Denny
Publisher: Edward Elgar Publishing
ISBN: 1800378114
Category : Political Science
Languages : en
Pages : 565
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Book Description
Pragmatic, progressive and global in its approach, this Handbook centres around the key question: How can we teach public policy? Presenting a wide variety of theoretical and methodological perspectives, it expertly examines current approaches to teaching public policy and critically reflects on potential future developments in the field.
Author: Leila C. Kahwati
Publisher: SAGE Publications
ISBN: 1506390196
Category : Social Science
Languages : en
Pages : 234
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Book Description
Qualitative Comparative Analysis in Mixed Methods Research and Evaluation provides a user-friendly introduction for using Qualitative Comparative Analysis (QCA) as part of a mixed methods approach to research and evaluation. Offering practical, in-depth, and applied guidance for this unique analytic technique that is not provided in any current mixed methods textbook, the chapters of this guide skillfully build upon one another to walk researchers through the steps of QCA in logical order. To enhance and further reinforce learning, authors Leila C. Kahwati and Heather L. Kane provide supportive learning objectives, summaries, and exercises, as well as author-created datasets for use in R via the companion site. Qualitative Comparative Analysis in Mixed Methods Research and Evaluation is Volume 6 in SAGE’s Mixed Methods Research Series.
Author: Patrick A. Mello
Publisher: Georgetown University Press
ISBN: 1647121450
Category : SOCIAL SCIENCE
Languages : en
Pages : 262
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Book Description
Qualitative Comparative Analysis is a comprehensive guide to QCA that will teach students, scholars, and self-learners the fundamentals of research design, interpretation of results, and how to present findings while using this increasingly popular research method.
Author: Khalid Saeed
Publisher: Springer Nature
ISBN: 3031105397
Category : Computers
Languages : en
Pages : 416
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Book Description
This book constitutes the proceedings of the 21st International Conference on Computer Information Systems and Industrial Management Applications, CISIM 2022, held in Barranquilla, Colombia, in July 2022. The 28 papers presented together with 3 keynotes were carefully reviewed and selected from 68 submissions. The main topics covered by the chapters in this book are biometrics, security systems, multimedia, classification and clustering, and industrial management as well as interesting papers on computer information systems as applied to wireless networks, computer graphics, and intelligent systems.
