With clear, step-by-step examples and inclusion of techniques that can be applied to a variety of settings, this book lays out a systematic approach to comparative case analysis based on fundamental insights of information theory

With original contributions by leading specialists from around the world, this is a cutting edge exploration of a major social science sub-discipline.

Michael explains how the theory of ANT can be applied across a range of fields to provide readers with an engaging and critical overview

This accessible guide helps students understand why careful research design is important and provides a range of designs based on key methods along with case studies and examples, so they can critically compare and use the approach that best suits their project.

Helping to bridge the gap between data gathering and data analysis, this book is based on a set of easy-to-follow steps woven throughout the text, enabling students to get stuck in and working with qualitative data fast.

An engaging, practical introduction to research methods, guiding students through the challenges of developing a project, with abundant examples, activities and digital resources.

Analyzing Inequalities: An Introduction to Race, Class, Gender, and Sexuality Using the General Social Survey is a practical resource for helping students connect sociological issues with real-world data in the context of their first undergraduate sociology courses. This worktext introduces readers to the GSS, one of the most widely analyzed surveys in the U.S.; examines a range of GSS questions related to social inequalities; and demonstrates basic techniques for analyzing this data online...

A new edition of this popular student exploration of contemporary social change.

This is a core research design text for courses in experimental design aimed at social scientists, focusing on the methodological and design issues in planning an experiment.

This applied text combines clear explanations of intermediate-level statistics with a rich set of exercises to develop students' skills in selecting, performing and evaluating statistical tests. Each exercise involves writing a brief abstract so that students can translate results into a cohesive and concise story about their data.