This is a clear and direct introduction to statistics for the social, behavioural, and life sciences. Based on the author's extensive experience teaching undergraduate statistics, this book provides a narrative presentation of the core principles that provide the foundation for modern-day statistics.

The first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.

This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages and pitfalls of team approaches, the uses of computers, and the applications of qualitative data analysis for social policy. Shrewd and insightful, the collection will be required reading for students of the latest thinking on research methods.

How do quantitative methods help us to acquire knowledge of the real world? What are the `do's' and `don'ts' of effective quantitative research? This refreshing and accessible book provides students with a novel and useful resource for doing quantitative research. Jargon-free and written with the needs of students in mind, the book will be required reading for students interested in using quantitative research methods.

As an introductory text, Basic Statistics outlines an elementary, one-semester course designed to expose students to many statistical ideas and rules that underlie statistical reasoning. Presenting a thorough, step-by-step development of fundamental principles, this book reflects the changes that have taken place in recent years in statistical thinking and in the teaching of statistics.

The fun and friendly guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis. Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more.

From getting started to completing your research project, this book provides a practical guide to using NVivo, the latest qualitative software package. Much more than a manual, the book offers advice with each section, addressing a range of research approaches and priorities.