John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that's needed to know about using secondary data and working with IBM SPSS Statistics.

Covering all aspects of the proposal process, from the most basic questions about form and style to the task of seeking funding, this Sixth Edition has been completely updated and revised to offer clear advice backed up with excellent examples.

A guide to the terms and phrases that partially shape the origins, purpose, logic, meaning and methods of the practices known as qualitative inquiry, this Fourth Edition has 20 additional terms as well as a Readers' Guide.

This book is ideal for looking at research undertaken with limited funds, using a small sample of convenience, in a health care setting with the primary objective of improving client care and obtaining better client outcomes.

Provides a practical, up-to-date treatment of evaluability assessment (EA) focused on application, and capturing the multidisciplinary appeal of EA with case studies from different disciplines.

Covers the important new developments in meta-analysis methods over the last 14 years

A cornerstone of this exciting, growing discipline, this text gives readers a clear introduction to key ideas and common complexities met when doing sensory research and provides plenty of real-world examples to show the method in action.

Explaining both why and how to use mixed methods for discovering solutions to complex research problems, this book gives readers the tools to adapt approaches to suit their own research conditions.

Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project.

This concise and practical guide explores the use of Conversation Analysis as a method for conducting research in a business and management Masters dissertation.