If you're a first-time researcher, this book covers everything you need to successfully complete your business research project, increase your employability and develop transferable skills.

This book walks you step-by-step through the entire research process, covering everything you need to successfully conduct a sports research project in the real world.

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.

An accessible, positive study guide for students with dyslexia, this book uses tried-and-tested learning strategies to empower students to achieve their academic goals.

This book is a step-by-step introduction to doing qualitative research, supporting you through every milestone of your research project, no matter the type of data or research tools you use.

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.

Dit boek beschrijft een methode in het ontwikkelen van tentoonstellingen. Het ontwikkelen van tentoonstellingen is dankbaar gekkenwerk, want gecompliceerd en stressvol. Het kost vaak kunst en vliegwerk om binnen de afgesproken tijd en

budgetten te blijven. En het helpt niet als de teams van ontwikkelaars, ontwerpers en bouwers vaak wisselen in samenstelling. 'There is a method to this madness' biedt ondersteuning. Het is een handboek, een uitgewerkte en gedetailleerde methode voor het ontwikk...

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.

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.