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.

This practical guide walks you through your whole research project, from first starting out and deciding on a topic or question to writing up and presenting research.

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.

Research Methods in the Social and Health Sciences gives students a thorough and thoughtful introduction to the entire research process from start to finish, covering qualitative and quantitative research throughout. It lays out each step, from the literature review to ethical research to individual methods and dissemination of research.

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.

This book is the definitive approach to thematic analysis, offering a highly accessible and practical discussion of doing TA.

This book will guide trainee teachers through each step of the teaching training process, from initial stages of planning and research, through to how to analyse data and write up a research project.

An updated edition of a bestselling text that provides readers with a clear and comprehensive overview of methods for conducting management and business research.

Packed with features like case studies and checklists, this accessible book gets you up and running so you can both understand interview research and use it in your project.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical me...