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

This brief and accessible title integrates contemporary scholarly research with compelling vignettes to make it appealing to both instructors and undergraduate audiences. While focused on the United States in respect to its target audience and emphasis, it contains considerable international data that compares and contrasts social policies adopted in Europe and elsewhere.

This text presents students, researchers and policy makers in the social sciences with the tools for undertaking mixed-methods research for policy research and programme evaluation, from design, through data collection and dissemination.

The book teaches the basic concepts and vocabulary necessary to do program evaluations and to review the quality of evaluation research so as to make informed decisions about methods and outcomes.

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book illustrates abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way.

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.

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.