David B. Flora`s textbook, Statistical Methods for the Social and Behavioural Sciences, is a welcome offering for instructors and students alike. Not only is it well written and accessible, one of its main strengths is its coverage of techniques. The book begins with a substantial overview of multiple regression, including an up to date presentation of moderation and mediation, and takes the reader through a broad array of techniques, including Factor Analysis, Multi-level Modeling, and Structural Equation Modeling. The selection of content for this textbook is a strength!
In this exceptional textbook, David Flora has introduced an innovative model-based approach to understanding and applying statistical principles and techniques. This textbook helps students and researchers to understand their data and choose the most appropriate statistical models to fit to their data using any software package. The excellent and easy-to-follow style engages the reader and the use of clear illustrations and example data analyses makes advanced statistical procedures accessible to students and researchers.
This book is so incredibly impressive. There are many general statistics texts in the field, but this one is fundamentally different by approaching the topic through a model-based perspective. It reaches a broad audience on many levels -- it’s clearly technically rigorous, but makes wonderful use of bold in the text, call-out boxes, section recaps, and recommended readings.
The perfect companion guide to common statistical issues ranging from simple regression to structural equation modeling that new graduate students or seasoned faculty members will invariably encounter on their research journeys. This text will be useful for busy researchers throughout graduate school and tenure. Clear and accessible with engaging, thoughtful examples and diagrams, this is a welcome addition that will be my go-to text for guidance on statistical models. I foresee this text being on my bookshelf for years to come.
David Flora's Statistical Methods for the Social and Behavioural Sciences presents pertinent statistical topics with sufficient depth of coverage for an introductory multivariate textbook, and does so with an exceptional level of clarity. Interesting and relevant examples are accompanied by code from key software packages so that readers can further understand the concepts described in each chapter. For these reasons, Statistical Methods for the Social and Behavioural Sciences would serve as an excellent textbook for a graduate level multivariate course.
Dave Flora’s textbook “Statistical Methods for the Social and Behavioural Sciences” is an excellent resource for graduate students, researchers, and professors alike who would like to improve their knowledge in a wide range of statistical methods. Each chapter provides the perfect balance of technical details to practical applications that provides an excellent foundation of knowledge without being overwhelming.
This text by Dave Flora is an excellent resource for researchers. Each chapter builds upon the next in a logical progression. The use of examples throughout, particularly having datasets available online so you can follow-along yourself, ensures understanding. The structure of the individual chapters is so helpful, particularly the chapter summaries and annotated selections for recommended readings. It’s a text I can see myself referring to frequently in the future.