When someone goes public with a simple, straightforward, good idea, the audience usually scratches its collective head and wonders why no one thought of it before. That was my reaction as I read James A. Davis and Tom W. Smith′s short volume on the General Social Survey (GSS), the first of a new Sage series on major social science data bases. . . . I suspect there isn′t a GSS user out there who wouldn′t learn quite a bit from reading this book. . . . The knowledge it provides is partly historical, partly practical, and partly inspirational. . . . The practical sections make up a very readable and thorough discussion of its study design. . . . The inspirational part of the book, at least for me is Davis and Smith′s narrative on the variety of studies and collaborative activity that make the GSS a unique source for comparative, historical, methodological, and cross-sectional research. . . . For those who wonder whether their interesting questions have been answered in previous research, Davis and Smith provide basic guidelines for finding out who has done what with the GSS. --Contemporary Sociology "This series will lead to more informed analysis of existing data sources as well as more insightful interpretation of studies based on them (for series quote). . . . In this superb first volume for the series, James A. Davis and Tom W. Smith have provided a lucid introduction to the history, philosophy, sampling design, and evolving content of the General Social Survey (GSS). . . . This guide conveys with both cogency and liveliness the major features of the GSS. . . . The chapter on sampling design, which describes both the shift from a block-quota modified probability sample to a full probability sample and the switch from a 1970 sample frame to a 1980 sample frame, gives evidence of the commitment to high quality. . . . The book communicates an abiding responsiveness to the emerging data needs of a developing social science. . . . The responsiveness of the GSS to new data needs, amply evident in the book, is one of its most laudable features. . . . It is a tribute to Davis and Smith that their book stimulates the reader not only to order the GSS database straightaway and carry out tests of some intriguing propositions but also to make testable some previously untestable propositions by persuading the GSS to collect information on the propositions′ previously unmeasured parts. This book augurs well for the series." --Journal of the American Statistical Association "All of the questions my methods students have asked over the years (and all I′ve asked myself) are answered, and then some. . . . The guide is effective in making the data accessible." --Karen Campbell, Vanderbilt University "I think this series is a very good idea. Code books are intimidating for many users, and clear, approachable guides to major social science data sets will be well received. The User′s Guide to the GSS . . . will ultimately be such a resource. . . . The section on Design Effects . . . is a very good subject to include in such a guide." --Dan Krymkowski, Dartmouth College "A fine introduction to an invaluable social science data resource." --Judith Tanur, State University of New York, Stony Brook "Should provide helpful assistance to undergraduates whose exposure to the GSS may be their first experience with survey research and quantitative analysis. In addition, it should be a useful tool to more experienced analysts who need to quickly master the intricacies of the GSS." --Microcase Forum For any researcher, student, or teacher using the General Social Survey (GSS), this book is a must. Written by the two researchers who have directed the GSS since its inception in 1972, this practical, easy-to-use volume enables you to exploit this large data set more effectively than ever before. This volume clearly explains the "rotations" and "split ballots" in the study design, describes available samples (including the 1982 and 1987 oversamples of black respondents) and weights, and discusses interviewer training, quality control, validation, and coding procedures. In addition, it outlines the topics covered in the GSS, including the recurrent, replicated "core" items suitable for trend analyses, the annual topical modules on subjects of current interest, and the international modules produced in collaboration with the International Social Survey Program. And, this guidebook covers the various data sets in which GSS data are accessible, and directs you to the data banks that disseminate them. Both novice and experienced GSS users will find The NORC General Social Survey an invaluable tool.

The aim of the Handbook of Social Indicators and Quality of Life Research is to create an overview of the field of Quality of Life (QOL) studies in the early years of the 21st century that can be updated and improved upon as the field evolves and the century unfolds. Social indicators are statistical time series “...used to monitor the social system, helping to identify changes and to guide intervention to alter the course of social change”. Examples include unemployment rates, crime rates, estimates of life expectancy, health status indices, school enrollment rates, average achievement scores, election voting rates, and measures of subjective well-being such as satisfaction with life-as-a-whole and with specific domains or aspects of life. This book provides a review of the historical development of the field including the history of QOL in medicine and mental health as well as the research related to quality-of-work-life (QWL) programs. It discusses several of QOL main concepts: happiness, positive psychology, and subjective wellbeing. Relations between spirituality and religiousness and QOL are examined as are the effects of educational attainment on QOL and marketing, and the associations with economic growth. The book goes on to investigate methodological approaches and issues that should be considered in measuring and analysing quality of life from a quantitative perspective. The final chapters are dedicated to research on elements of QOL in a broad range of countries and populations.

Leading Canadian scholars cover a wide range of topics spanning the applications of psychology in both criminal and civil areas of law. An authoritative introduction to law and psychology for a Canadian audience.

Written by esteemed social science research authors Earl R. Babbie, William E. Wagner, and Jeanne Zaino, Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics, Ninth Edition encourages students to practice SPSS as they read about it, providing a practical, hands-on introduction to conceptualization, measurement, and association through active learning. This fully revised workbook will guide students through step-by-step instruction on data analysis using the latest version of SPSS and the most up to date General Social Survey data. Arranged to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. In this revised edition, active and collaborative learning will be emphasized as students engage in a series of practical investigative exercises.

Challenging the traditional treatment of human rights cast in purely legal frameworks, the authors argue that, in order to promote the notion of human rights, its geographies and spatialities must be investigated and be made explicit. A wealth of case studies examine the significance of these components in various countries with multi-cultured societies, and identify ways to integrate human rights issues in planning, development and policy making. The book uses case studies from UK, Israel, Canada, Singapore, USA, Peru, European Union, Australia and the Czech Republic.

This timely Research Handbook offers a comprehensive examination of judicial politics, both in the US and across the globe. Taking a broad view of the judiciary in all levels of the court, it examines the present state of the field and raises new questions for future scholarly exploration.

Bowen also assesses the role of religion in public education, the financial liability of Canada's churches for abuse suffered by Aboriginals in residential schools, the status of women clergy in Protestant churches, and the debates over abortion and gay and lesbian marriage. He takes issue with those who claim that on-going widespread involvement in various privatized forms of religiousness indicates that religion is changing rather than declining. The book concludes with an assessment of the major challenges that Christian churches in Canada confront today.

Research Methods for Public Administrators contains a thorough overview of research methods and statistical applications for advanced undergraduate and graduate students, and practitioners. The material is based on established social science methods. Concepts and applications are discussed and illustrated with examples from actual research. The book covers research design, methods of data collection, instructions on formulating research plans, measurement, sampling procedures, and statistical applications from basic statistics to more advance techniques. The basics of conducting experiments, survey research, case studies, and focus groups are discussed. Data organization, management, and analysis are also covered, as are data analysis and hypothesis testing. Descriptive and inferential statistics are discussed and illustrated with examples. The book also includes a chapter on obtaining and analyzing secondary data (data already collected for other purposes) and a chapter on reporting and presenting research results to a variety of audiences. This is a general textbook written primarily for students of public administration and practitioners in public and not-for-profit organizations. It includes materials shown to be useful in gathering and assessing information for making decisions and implementing policies. The material is discussed at a level to be accessible and with enough detail to be useful. New to the seventh edition: Additional and expanded material on qualitative research, big data, metadata, literature reviews, and causal inference New material on experiments and experimental research New examples and case studies, including those dealing with public policy Expanded material on using computers for data management Information on new NSF and NIH ethics and protection of human subjects requirements for researchers New data sets and Power Point slides for each chapter.