Incorporating both theory and practice, this text provides students with an essential resource on how to do useful and effective evaluations.

A step-by-step approach to turning a research idea into a proposal worthy of funding, demystifying the process as a result.

A revised and updated edition of this accessible yet provocative survey of contemporary social and sociological theories.

A concise introduction to the writings, life, and influences of Georg Simmel - an important sociologist whose work is now taught across sociological theory courses worldwide.

This is a unique methodological resource drawing together contributions from leading scholars across the social sciences, each offering insights into particular measurement-related challenges they have confronted and how they have addressed them.

A brief and accessible text that provides undergraduate sociological theory students with the tools they need to think theoretically about their social world

New to online qualitative research? This book equips you with the skills to make good research choices so you can confidently conduct a project using internet methods.

A Crash Course in Statistics is a short introduction to key statistical methods including descriptive statistics, one-way and two-way ANOVA, the t-test, and Chi Square. Each of the five chapters provides an overview of each method, and then walks readers through a relevant example, using SPSS to highlight how to run the statistics and how to write up the results in APA style.

Now with a new companion website! Using IBM (R) SPSS (R) Statistics: An Interactive Hands-On Approach, Third Edition gives readers an accessible and comprehensive guide to walking through SPSS (R), providing them with step-by-step knowledge for effectively analyzing their data. From entering data to working with existing databases, and working with the help menu through performing factor analysis, Using IBM (R) SPSS (R) Statistics covers every aspect of SPSS (R) from introductory through inte...

Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs.