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

Focussing on applied knowledge and providing straightforward coverage of R objects and functions, this introduction helps students with little or no background in statistics or programming to develop real-world R skills.

With step-by-step instructions covering the entire research process, and with an emphasis on meaningful analysis to encourage good judgement, this book provides that ideal stepping stone between learning about research and actually doing it

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.

This book offers insight into how to secure, manage and effectively research funding in the changing order of global economy and competing research priorities.

Systematically explains the concepts that have preoccupied medical sociologists from its inception, and which have shaped the field as it exists today.

Being able to read and interpret tables and graphs is a skill that is frequently tested and where students often lose marks in tests. This Little Quick Fix prepares students to read, interpret and produce tables and graphs with confidence and succeed in their exams.

Written from the insider's perspective, this text helps organizations become more focused on using evaluation to improve policies, strategies, programming and delivery of public and communal services

This text looks at what many survey scientists believe to be the largest source of error: nonsampling error.