Written with those with limited mathematical and statistical knowledge in mind, this concise and practical guide helps researchers to do their research in new and alternative ways.

An ideal introduction for trainees and practitioners looking to understand the what, the why, and the how of coaching research.

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.

With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods. With a clear focus on the ‘how to’ of QDA, each chapter includes: •Step-by-step descriptions of how to apply each approach in your resea...

Introducing a broad range of innovative and creative qualitative methods, this accessible book shows you how to use them in research project while providing straightforward advice on how to approach every step of the process; from planning and organisation to writing up and disseminating research. The authors provide a complete toolkit for conducting research in this field, while rendering the most novel and cutting-edge methods unintimidating to the reader.

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.

The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach. The authors use their teaching experience to communicate the fundamentals of PLS-SEM with limited emphasis on equations and and symbols, relying on straightforward language instead.

Created from the first half of Rebecca M. Warner's popular Applied Statistics: From Bivariate Through Multivariate Techniques, this introductory statistics text reflects current thinking in the field and uses a contemporary approach that differs from other well-worn texts in the market.

This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples.