Secondary Data in Mixed Methods Research by Daphne C. Watkins, is the latest contribution to the Mixed Methods Research Series. This brief text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well as identifying characteristics of datasets that make them good candidates for mixed methods projects.

A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis.

The #1 resource for carrying out educational research as part of postgraduate study.

The first book on the market giving step-by-step guidance to students on how to do qualitative content analysis.

This comprehensive second edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM).

Packed with features like case studies and checklists, this accessible book gets you up and running so you can both understand interview research and use it in your project.

Evaluating Research 3e provides students with the skills to read and evaluate research studies. Aimed at courses where it will be more important for students to read than conduct research, this book covers all aspects social, behavioral, and health science research from the ground up, as well as main types of research methods.

This practical guide walks you through your whole research project, from first starting out and deciding on a topic or question to writing up and presenting research.

In this fully updated and expanded second edition, Carol Grbich provides a guide through current issues in the analysis of qualitative data.