Statistical Methods for the Social and Behavioural Sciences: A Model-Based Appro

Description: Statistical Methods for the Social and Behavioural Sciences by David B. Flora Flora provides a comprehensive survey of the major statistical procedures, along with an innovative model-based approach, teaching researchers how to understand and choose the best model to fit their data. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your dataMatch substantive theory and statistical modelsApply statistical procedures hands-on, with example data analysesDevelop and use graphs to understand data and fit models to dataWork with statistical modeling principles using any software packageLearn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences. Table of Contents 1. Foundations of Statistical Modeling Demonstrated with Simple Regression2. Multiple Regression with Continuous Predictors3. Regression with Categorical Predictors4. Interactions in Multiple Regression: Models for Moderation5. Using Multiple Regression to Model Mediation and Other Indirect Effects6. Introduction to Multilevel Modeling7. Basic Matrix Algebra for Statistical Modeling8. Exploratory Factor Analysis9. Structural Equation Modeling I: Path Analysis10. Structural Equation Modeling II: Latent Variable Models11. Growth Curve Modeling Review 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! -- Dennis L JacksonIn 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. -- Jala RizeqThis 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 -- its clearly technically rigorous, but makes wonderful use of bold in the text, call-out boxes, section recaps, and recommended readings. The topical coverage is also great -- this could be used either as a primary or secondary resource for a large variety of classes ranging from general introductions to multivariate topics to a graduate regression course. -- Patrick J. CurranThe 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. -- Joshua GuilfoyleDavid 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. -- Alyssa CounsellDave Floras 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. Readers will find that this textbook is designed to answer their questions before they realize they have them and that it makes an invaluable addition to any researchers bookshelf. -- Samantha FashlerThis 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. Its a text I can see myself referring to frequently in the future. -- Caroline Barnes, PhD, R.Psych Review Quote 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 -- its clearly technically rigorous, but makes wonderful use of bold in the text, call-out boxes, section recaps, and recommended readings. The topical coverage is also great -- this could be used either as a primary or secondary resource for a large variety of classes ranging from general introductions to multivariate topics to a graduate regression course. Details ISBN1446269833 ISBN-10 1446269833 ISBN-13 9781446269831 Format Paperback Subtitle A Model-Based Approach Place of Publication London Country of Publication United Kingdom Pages 472 Media Book DEWEY 300.727 Year 2017 Publication Date 2017-12-29 Short Title Statistical Methods for the Social and Behavioural Sciences Language English NZ Release Date 2017-12-29 UK Release Date 2017-12-29 Alternative 9781446269824 Audience Tertiary & Higher Education Imprint Sage Publications Ltd Publisher Sage Publications Ltd AU Release Date 2017-12-28 Author David B. Flora We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:168821745;

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