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Machine Learning for Social and Behavioral Research

Machine Learning for Social and Behavioral Research

Today's social and behavioral researchers increasingly need to know: "What do I do with all this data?" This book provides the skills needed to analyze and report large complex data sets using machine learning tools and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory early childhood learning and more) with a focus on the interplay of statistical algorithm data and theory. The identification of heterogeneity measurement error regularization and decision trees are also emphasized. The book covers basic principles as well as a range of methods for analyzing univariate and multivariate data (factor analysis structural equation models and mixed-effects models). Analysis of text and social network data is also addressed. End-of-chapter "Computational Time and Resources" sections include discussions of key R packages; the companion website provides R programming scripts and data for the book's examples. | Machine Learning for Social and Behavioral Research

GBP 51.99
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Cognitive-Behavioral Therapy in Groups Second Edition

Cognitive-Behavioral Therapy in Groups Second Edition

The leading guide to group-based cognitive-behavioral therapy (CBT) has now been significantly revised with 70% new material reflecting over 15 years of research and clinical advances. Too often CBT training resources treat groups as simply an extension of individual therapy. Filling an important need this text helps students and practitioners build essential skills for leveraging group process to optimize outcomes. Featuring sample dialogues clinical pointers and troubleshooting tips the book provides practical answers to group leaders' most pressing questions. Effective protocols for treating specific disorders are presented with a focus on CBT techniques and group process factors unique to each type of group. New to This Edition *Chapters on inpatient groups and mindfulness-based CBT. *Chapters on additional disorders: posttraumatic stress disorder and borderline personality disorder. *Fully rewritten chapters on anxiety disorders substance use disorders and psychosis. *Discussions of timely topics such as conducting virtual groups and the growth of transdiagnostic approaches. *Even more clinician friendly; streamlined chapters highlight "what to do when. " | Cognitive-Behavioral Therapy in Groups Second Edition

GBP 37.99
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Mobile Sensing in Psychology Methods and Applications

Mobile Sensing in Psychology Methods and Applications

How can large-scale real-time and real-world data on people’s behaviors interactions and environments improve psychological measurement or lead to customized psychological interventions? Written expressly for social and behavioral scientists this cutting-edge handbook describes the key concepts and tools of mobile sensing and explains how to plan and conduct a mobile sensing study. Renowned experts address the whats whys and how-tos of collecting "big data" using smartphones and other wearables and explore which research questions can best be addressed with these tools. Modern statistical methods for analyzing mobile sensing data are described-for example dynamic structural equation modeling network modeling and machine learning including deep neural networks. The book includes best-practice research examples of applications in clinical psychology aging neuroscience health emotions relationships personality the workplace and other areas. Key methodological challenges and ethical/privacy issues are highlighted throughout. | Mobile Sensing in Psychology Methods and Applications

GBP 105.00
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Handbook of Structural Equation Modeling Second Edition

Handbook of Structural Equation Modeling Second Edition

The definitive one-stop resource on structural equation modeling (SEM) from leading methodologists is now in a significantly revised second edition. Twenty-three new chapters cover model selection bifactor models item parceling multitrait–multimethod models exploratory SEM mixture models SEM with small samples and more. The book moves from fundamental SEM topics (causality visualization assumptions estimation model fit and managing missing data); to major model types focused on unobserved causes of covariance between observed variables; to more complex specialized applications. Each chapter provides conceptually oriented descriptions fully explicated analyses and engaging examples that reveal modeling possibilities for use with the reader's data. The expanded companion website presents full data sets code and output for many of the chapters as well as bonus selected chapters from the prior edition. New to This Edition *Chapters on additional topics not mentioned above: SEM-based meta-analysis dynamic SEM machine-learning approaches and more. *Chapters include computer code associated with example analyses (in Mplus and/or the R package lavaan) along with written descriptions of results. *60% new material reflects a decade's worth of developments in the mechanics and application of SEM. *Many new contributors and fully rewritten chapters. | Handbook of Structural Equation Modeling Second Edition

GBP 105.00
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