The Cambridge Handbook of Research Methods in Clinical Psychology
"The scientific discipline of clinical psychology has witnessed paradigm changes in the prevailing conceptualization of psychopathology and in the rigor of experimental methods to test psychosocial treatments. In parallel, neuroscience approaches to mental illness have become increasingly promi...
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Language: | English |
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Cambridge, United Kingdom New York, NY
Cambridge University Press
2020
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Table of Contents:
- Trends in the evolving discipline of clinical psychology / Aidan G. C. Wright and Michael N. Hallquist
- Defining and redefining phenotypes : operational definitions as open concepts / Peter Zachar, Eric Turkheimer, and Kenneth F. Schaffner
- Building models of psychopathology spanning multiple modalities of measurement / Noah C. Venables and Christopher J. Patrick
- The conceptual foundations of descriptive psychopathology / Trevor F. Williams and Leonard J. Simms
- Survey and interview methods / Douglas B. Samuel, Meredith A. Bucher, and Takakuni Suzuki
- Psychometrics in clinical psychological research / R. Michael Furr
- Latent variable models in clinical psychology / Aidan G. C. Wright
- Psychiatric epidemiology methods / David S. Fink, Hyunsik Kim, and Nicholas R. Eaton
- Conceptual foundations of experimental psychopathology : historical context, scientific posture, and reflections on substantive and method matters / Mark F. Lenzenweger
- A practical guide for designing and conducting cognitive studies in child psychopathology / Cynthia Huang-Pollock, Zvi Shapiro, Hilary Galloway-Long, and Jason Feldman
- Peripheral psychophysiology / Amanda Levinson and Greg Hajcak
- Behavioral and molecular genetics / Gretchen Saunders and Matt McGue
- Concepts and principles of clinical functional magnetic resonance imaging / Avram J. Holmes and Angus W. MacDonald III
- Clinical computational neuroscience / Michael N. Hallquist and Alexandre Y. Dombrovski
- Studying psychopathology in early life : foundations of developmental psychopathology / Dante Cicchetti
- Adolescence and puberty : understanding the emergence of psychopathology / Sarah D. Lynne, Allison S. Metz, and Julia A. Graber
- Quantitative genetic research strategies for studying gene-environment interplay in the development of child and adolescent psychopathology / Isabell Brikell and Henrik Larsson
- Designing and managing longitudinal studies / M. Brent Donnellan and Deborah A. Kashy
- Measurement and comorbidity models for longitudinal data / Phillip K. Wood
- The multiphase optimization strategy for developing and evaluating behavioral interventions / Kate Guastaferro, Chad E. Shenk, and Linda M. Collins
- Future directions in developing and evaluating psychological interventions / Shannon Sauer-Zavala
- Health psychology and behavioral medicine : methodological issues in the study of psychosocial influences on disease / Timothy W. Smith
- Ambulatory assessment / Stuart G. Ferguson, Tina Jahnel, Katherine Elliston, and Saul Shiffman
- Modeling intensive longitudinal data / Marlies Houben, Eva Ceulemans, and Peter Kuppens
- Modeling the individual : bridging nomothetic and idiographic levels of analysis / Peter C. M. Molnaar and Adriene M. Beltz
- Social processes and dyadic designs / Robert D. Vlisides-Henry, Sheila E. Crowell, Erin A. Kaufman, and Betty Lin
- Models for dyadic data / Eduardo Estrada, David A. Sbarra, and Emilio Ferrer
- Reproducibility in clinical psychology / Christopher J. Hopwood and Simine Vazire
- Meta-analysis : integration of empirical findings through quantitative modeling / Kristian E. Markon
- Mediation, moderation, and conditional process analysis : regression-based approaches for clinical research / Nicholas J. Rockwood and Andrew F. Hayes
- Statistical inference for causal effects in clinical psychology : fundamental concepts and analytical approaches / Reagan Mozer, Donald B. Rubin, and Jose Zubizarreta
- Analyzing nested data : multilevel modeling and alternative approaches / Daniel J. Bauer, Daniel M. McNeish, Scott A. Baldwin, and Patrick J. Curran
- Missing data analyses / Amanda N. Baraldi and Craig K. Enders
- Machine learning for clinical psychology and clinical neuroscience / Marc N. Coutanche and Lauren S. Hallion