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.

Building on the acclaimed and successful previous editions, the Third Edition provides further critical updates and illustrations of the applications of reflexive methodology in formulating research strategies.

Identifying the practicalities and key challenges of carrying out organisational research, this important new book introduces students across disciplines to all that is involved with this type of fieldwork

Providing readers with practical, 'how to' advice and featuring plenty of worked examples, this book takes students through the entire process of doing network research

Challenging current modes of thinking, and covering areas not usually found in qualitative research texts such as social reality/ontology and quantum reality/mechanics, this book helps readers to choose and defend their research methods and to take their work beyond standard perspectives

With a particular focus on the complexities of cross-national, comparative survey research, explored by a team of international experts at local and national levels, this exciting new handbook provides readers with a cutting-edge resource.

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.

Placing into perspective the meaning of evidence for evaluation professionals and applied researchers, the contributors to this book - a veritable 'who's who' in evaluation - provide observations about the diversity and changing nature of credible evidence.

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical data