The Cambridge Handbook of Research Methods in Clinical Psychology

'The editors have produced an indispensable tome. For the first time, the various methods and approaches used by clinical psychology researchers have been brought together. This book represents a watershed moment in the development of clinical psychology as a scientific discipline and belongs on the bookshelves of all clinical psychologists.' Robert F. Krueger, Distinguished McKnight University Professor, University of Minnesota

'This handbook provides a much-needed primer on a range of methods important for clinical science. It would be an excellent addition to a graduate introductory course on methods in clinical science or a very useful resource for more advanced researchers wanting to learn about new approaches and methods in the field.' Deanna M. Barch, Chair and Professor of Psychological and Brain Sciences, Washington University, St Louis

'Assembled by two highly respected clinical scientists, this handbook is current, comprehensive, and sophisticated. Researchers across a wide spectrum of experience will find this volume invaluable to their work. Written by leading experts, the chapters discuss methodological and quantitative approaches to address clinical psychology's most pressing questions.' Josh Miller, Professor and Director of Clinical Training, University of Georgia

'This comprehensive treatment of the cutting-edge methods and procedures used in the rapidly evolving field of clinical research should be a go-to resource for anyone interested in the state-of-the-art in the discipline of clinical psychology. Topics as diverse as latent variable models, molecular genetics, functional imaging, and the replication crisis all receive clear and detailed consideration.' Leslie C. Morey, George T. and Gladys H. Abell Professor, Texas A&M University

Aidan Wright is Associate Professor of Psychology at the University of Pittsburgh, where he primarily teaches graduate statistics. His work has been recognized by several awards, including the Society for a Science of Clinical Psychology's Susan Nolen-Hoeksema Early Career Research Award and the American Psychologists' Association's David Shakow Early Career Award for Contributions to Clinical Psychology. Michael Hallquist is Assistant Professor in the Department of Psychology at Pennsylvania State University. His research is supported by the National Institute of Mental Health and, in 2019, he received the Young Investigator Award from the International Society for the Study of Personality Disorders.

Section I. Clinical Psychological Science: An Evolving Field: 1. Trends in the evolving discipline of clinical psychology; 2. Defining and refining phenotypes: operational definitions as open concepts; 3. Building models of psychopathology spanning multiple modalities of measurements; Section II. Observational Approaches: 4. The conceptual foundations of descriptive psychopathology; 5. Survey and interview methods; 6. Psychometrics in clinical psychology research; 7. Latent variable models in clinical psychology; 8. Psychiatric epidemiology methods; Section III. Experimental and Biological Approaches: 9. Conceptual foundations of experimental psychopathology: historical context, scientific posture, and reflections on substantive and method matters; 10. A practical guide for designing and conducting cognitive studies in child psychopathology; 11. Peripheral psychophysiology; 12. Behavioral and molecular genetics; 13. Concepts and principles of clinical functional magnetic resonance imaging; 14. Reinforcement learning approaches to computational clinical neuroscience; Section IV. Developmental Psychopathology and Longitudinal Methods: 15. Studying psychopathology in early life: foundations of developmental psychopathology; 16. Adolescence and puberty: understanding the emergency of psychopathology; 17. Quantitative genetics research strategies for studying gene-environment interplay in the development of child and adolescent psychopathology; 18. Designing and managing longitudinal studies; 19. Measurement and comorbidity models for longitudinal data; Section V. Intervention Approaches: 20. The multiphase optimization strategy for developing and evaluating behavioral interventions; 21. Future directions in developing and evaluating psychological interventions; 22. Health psychology and behavioral medicine: methodological issues in the study of psychosocial influences on disease; Section VI. Intensive Longitudinal Designs: 23. Ambulatory assessment; 24. Modeling intensive longitudinal data; 25. Modeling the individual: bridging nomothetic and idiographic levels of analysis; 26. Social processes and dyadic designs; 27. Models for dyadic data; Section VII. General Analytic Considerations: 28. Reproducibility in clinical psychology; 29. Meta-analysis: integration of empirical findings through quantitative modeling; 30. Mediation, moderation, and conditional process analysis: regression-based approaches for clinical research; 31. Statistical inference for causal effects in clinical psychology: fundamental concepts and analytical approaches; 32. Analyzing nested data: multilevel modeling and alternative approaches; 33. Missing data analyses; 34. Machine learning for clinical psychology and clinical neuroscience.