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1. Research Ethics and Integrity in Social Sciences in Africa -- 2. A Critical Discussion on the Relevance of Biosocial Science Research Ethics Codes and Principles for Social Science Researchers in Africa -- 3. Research Ethics Governance – An African Perspective -- 4. African Social Science Research Ethics and Integrity -- 5. Ethics Review Framework and Guidelines for Social Science Research -- 6. A risk framework for research in social sciences -- 7. Human Dignity Protection in Social Science Research in Africa: The State and Role of National Research Guidelines -- 8. Vulnerability -- 9. Informed Consent In Africa – Integrating Individual And Collective Autonomy -- 10. Engaged Research: An African Macro-Ethics Perspective -- 11. Equity, Equality and Justice in Biosocial Science Research in Africa -- 12. Social Responsibility and Health Related Research -- 13. An African Perspective of Benefits in Social Science Research -- 14. Protecting Future Generations Through Social Responsible Research Ethics Practices -- 15. Data Sharing: Protecting Privacy and Confidentiality Amidst the Big Data Debate - Implications for Social Science Research -- 16. Promoting Research Integrity and Avoiding Misconduct - Perspectives On and From Africa -- 17. Unethical Authorship Deals: Concepts, Challenges and Guidelines -- 18. Building Research Ethics Capacity in Africa

"Research Methods in Social Sciences" brings together author Lee Ellis's practical experience from his years as a government researcher. The book contains many examples of resources using worldwide data from all social sciences including anthropology, criminal justice, economics, geography, history, philosophy, political science, psychology, social work and sociology. Coverage of statistical concepts at a non-mathematical level establishes a foundation for students to understand statistics. A specifically designed glossary is included which clearly defines every term used throughout the text.

Science and technology, as rational approaches to problem solving, are driving forces in the promotion of democracy at home and abroad. Science based decision-making is increasingly global as countries share technology, research results, and engage in joint studies on common problems. The widening rift between global wealth and poverty diminishes for many the opportunity for exposure to science, technology and social science based decision-making on issues that directly affect them. This paper outlines a model for democratizing science by utilizing the interactive tools of the social sciences in a process that enables information-marginalized people to engage with the language, methods and results of social science for purposes of community empowerment and voice in science policy. The paper offers examples of approaches to implementation, citing various forms of research partnerships with communities, and discusses challenges including ethical considerations, the conflict between "local" and science-based knowledges and power differentials in practice.

Contents -- Introduction -- Survey Design and Analysis in Sociology / Charles Y. Glock -- Survey Research in Political Science / Herbert McClosky -- The Practice and Potential of Survey Methods in Psychological Research / Daniel Katz -- Contributions of Survey Research to Economics / James N. Morgan -- Sociocultural Anthropology and Survey Research / John W. Bennett and Gustav Thaiss -- Education and Survey Research / Martin Trow -- The Survey Method in Social Work: Past, Present, and Potential / Fred Massarik -- The Survey Method Applied to Public Health and Medicine / Edward A. Suchman

"This book presents various recently developed and traditional statistical techniques, which are increasingly being applied in social science research. The social sciences cover diverse phenomena arising in society, the economy and the environment, some of which are too complex to allow concrete statements; some cannot be defined by direct observations or measurements; some are culture- (or region- ) specific, while others are generic and common. Statistics, being a scientific method - as distinct from a 'science' related to any one type of phenomena - is used to make inductive inferences regarding various phenomena. The book addresses both qualitative and quantitative research (a combination of which is essential in social science research) and offers valuable supplementary reading at an advanced level for researchers."--

"This book is a proposed supplementary text that guides social scientists and their students to fully characterize and assess the properties of research designs before they implement them. The book leads readers to answer questions like: - What questions is my study honestly well-equipped to answer? - How do I choose between gathering less data on more units versus more data on fewer units? - If I'm right, how likely is it that my study will change the mind of a committed skeptic? - How sensitive are my findings to my assumptions? These questions are surprisingly tricky to answer even for the most seasoned researchers. A major part of the trouble is that most scholars lack a definition of what constitutes a complete research design. The book will help researchers and students to decide on a method of assessment and then to measure the strength of that research design. The book applies this framework for common social science research designs. The book has four parts: (1) an introduction to the general framework to conceptualize design; (2) a design library of standard design types for researchers to draw from; (3) a set of research principles to guide readers with data gathering, question formation, and analysis; and (4) an extension of the broader use of the approach and framework for researchers, critiques and peer reviewers, and also for research funders. Each chapter is anchored by a narrative theoretical section that are enhanced by interactive R modules to illustrate design tradeoffs. In addition, each chapter includes a "lab," demonstrating how to implement and learn about each design; and exercises that extend the lab using interactive assessment tools. The book can be used independently as a supplemental course book for graduate and advanced graduate students, but is also supported by an online set of R repositories that could be used in conjunction with the book, as well as a piece of web software that allows researchers to assess designs without using the statistical packages"--

Volume 1. Foundations of social science methods -- Volume 2. Social science methods in basic biomedical research -- Volume 3. Social science methods in clinical research -- Volume 4. Social science methods in health organizations research -- Volume 5. Social science methods in health systems research -- Volume 6. Social science methods in public health research

AbstractTo the extent that intersectionality is becoming a common term in mainstream social science, it is as a methodological justification to separate out different racial, ethnic, gender, class, and other social groups for empirical analysis. One might call this the "intersectionality hypothesis," and in its best incarnation, it is about getting the facts right and finding the differences that matter. But an intersectional analysis in the social sciences often involves more than this. An intersectional approach also leads to potentially different interpretations of the same facts, or what we term a different social explanation. It is not only the intersection of categories that defines an intersectional project, then, but the theoretical framing that informs the analysis and interpretation of the subject under study. This framing often leads to an analysis of multiple and even conflicting social dynamics that enable certain kinds of social understanding that are otherwise invisible when scholars focus on a single set of social dynamics. Because the social theoretical aspects of research on intersectionality are rarely discussed, relative to the more methodological and ontological aspects of intersectionality, this is our main subject matter in this article. We focus on the process of developing social explanations rooted in the intersection of multiple social dynamics in several examples from our own research and across a variety of topics in social science research.