Designed to reduces students' anxieties and minimize unnecessary formulas, this fourth edition provides a comprehensive introduction to basic statistical designs and analyses.

Focused on the needs of the new classroom researcher and those studying education on Masters-level courses, this is a thorough and thoughtful guide to the research process, covering qualitative, quantitative and mixed research methods.

Discover how to write winning essays and improve your grades, with this tried and tested guide to essay writing.

This book provides the very basics for understanding SPSS and how to use it when analyzing data, and contains a number of examples of how to work with Versions 20-23.

A sophisticated introduction to the diversity and interconnectivity of digital space, technology, objects, people and data. It sets out the theory and methods needed to understand digital life and then links them to real world data showcasing their strengths and challenges.Â

A step-by-step on five different qualitative approaches - thematic analysis, interpretative phenomenological analysis, grounded theory, narrative analysis and discourse analysis.

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.

Drawing on the expertise of major names in the field, this text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume.

In this book, Norman Denzin combines one of the oldest techniques in the social sciences with one of the newest.