Data archives provide rich and expansive sources of information for researchers. Part of the SAGE Qualitative Research Kit, this book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your research.

This book is a systematic, eight-step guide to qualitative content analysis, supporting you through each stage of your research project, no matter the type or amount of data.

Explores the field of research ethics and presents a distinctive perspective; one that is at odds with the assumptions underpinning ethical regulation, but also with the views of many qualitative researchers today.

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

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.

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.

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

Dit boek beschrijft de geschiedenis van Museum De Lakenhal. Een reeks artikelen, geschreven door conservatoren en andere deskundigen, belicht de bijzondere ontwikkeling van het Leidse museum, het gebouw en van de collecties kunst, kunstnijverheid en geschiedenis. Die omspannen ruim zeven eeuwen, van de dertiende eeuw tot heden.

Museum De Lakenhal is gevestigd in de Laecken-Halle, een fraaie keurhal voor lakense stoffen, in 1641 ontworpen door architect Arent van ’s-Gravesande. Het monumenta...

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