Addressing a common question posed by researchers, this book introduces readers to power analysis and sample size determination and clearly illustrates why sample sizes need to be sufficiently large to give good power properties and low error rates.

This comprehensive book provides guidelines for applying mixed-methods research in the development of culturally specific intervention programs and the subsequent evaluation.

In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. The author covers both the theory and application of statistical models, with the help of illuminating graphs.

This book gives you the tools to conduct your own documentary research and celebrates the importance of documentary analysis across the social sciences.

Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to - all supported by lots of visuals, interactive demonstrations, author videos, and practice datasets.

The Logic Model Guidebook offers clear, step-by-step support for creating logic models and the modeling process in a range of contexts.

This interdisciplinary text examines five different components of family health--biology, behavior, social-cultural circumstances, the environment, and health care--and the ways they affect the abilities of family members to perform well in their homes, workplaces, and communities.

Social inequality is a core area of Sociology, as well as working across Pol & IR, Health and Social Work. This new edition still provides a comprehensive introduction to all areas of social inequality, complete with new chapters on sexuality, employment and migration and has been fully updated with coverage of covid-19, Brexit and the recent BLM protests and how they relate to inequality.

This book boldly pursues the challenge to teach researchers not just how to collect and analyze data but how to actively think about them.

Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.