Social Science Research

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

This book presents different research designs, their respective purposes and merits as well as their underlying assumptions. Research designs are characterised by a certain combination of knowledge aims and strategies for data production. An adequate design is the key to carrying out a successful research project. Nevertheless, the literature on design is scarce, compared to the literature on methods. This book clarifies the basic distinction between variable-oriented designs and case designs, and proceeds to integrated, comparative and intervention-oriented designs. A step-by-step guide to the design process and the choices to make is also included. The book's clear style makes it an excellent guide for master students and PhD students doing their first research exercises, while it is also useful for more experienced researchers who want to broaden their design repertoire and keep up to recent innovations in the field of research design.

This clear, straightforward textbook embraces the practical reality of actually doing fieldwork. It tackles the common problems faced by new researchers head on, offering sensible advice and instructive case studies from the author’s own experience. Barbara Czarniawska takes us on a master class through the research process, encouraging us to revisit the various facets of the fieldwork research and helping us to reframe our own experiences. Combining a conversational style of writing with an impressive range of empirical examples she takes the reader from planning and designing research to collecting and analyzing data all the way to writing up and disseminating findings. This is a sophisticated introduction to a broad range of research methods and methodologies; it will be of great interest to anyone keen to revisit social research in the company of an expert guide.

This collection demonstrates the use and variety of applications of time use methodology from multidisciplinary, multinational, and multicultural perspectives. A distinguished roster of contributors from such fields as psychology, occupational therapy, sociology, economics, and architecture examines the complex relationship between human time utilization and health and well-being and evaluates the future of time use analysis as a research tool in the social sciences.

In this digital age the use of video in social science research has become commonplace. As sophistication has increased along with usability, as spiralling staff costs push out direct observation, the researchers training today are grasping video as a means of coming to terms with the continued pressure to produce accessible research. However, the ‘fit’ of technology with research is far from simple. Ideally placed to offer guidance to developing researchers, this new text draws together the theoretical, methodological and practical issues of effectively using video across the social sciences. This book concentrates on how researchers can benefit from the use of video in their own research, whether it is: Video as representation Video as an aid to reflection Video that generates participation Video, voice and articulation, or Video that acts as a provocation. In turn each of these five central functions is discussed in relation to different stages of the research process, consisting of: Research design Fieldwork and data collection Analysis of data and findings Dissemination. As a practical research tool this book shows how, why and when video should be used, representing an invaluable guide for postgraduate and doctoral students conducting research in the social sciences, as well as any researchers, academics or professionals interested in developing technologically informed research.

Recently, social science has had numerous episodes of influential research that was found invalid when placed under rigorous scrutiny. The growing sense that many published results are potentially erroneous has made those conducting social science research more determined to ensure the underlying research is sound. Transparent and Reproducible Social Science Research is the first book to summarize and synthesize new approaches to combat false positives and non-reproducible findings in social science research, document the underlying problems in research practices, and teach a new generation of students and scholars how to overcome them. Understanding that social science research has real consequences for individuals when used by professionals in public policy, health, law enforcement, and other fields, the book crystallizes new insights, practices, and methods that help ensure greater research transparency, openness, and reproducibility. Readers are guided through well-known problems and are encouraged to work through new solutions and practices to improve the openness of their research. Created with both experienced and novice researchers in mind, Transparent and Reproducible Social Science Research serves as an indispensable resource for the production of high quality social science research.

This introductory text presents basic principles of social science research through maps, graphs, and diagrams. The authors show how concept maps and mind maps can be used in quantitative, qualitative, and mixed methods research, using student-friendly examples and classroom-based activities. Integrating theory and practice, chapters show how to use these tools to plan research projects, "see" analysis strategies, and assist in the development and writing of research reports.

Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.