Cambridge Handbook of Research Methods in Clinical Psychology (eBook, PDF)

Redaktion: Wright, Aidan G. C.

• Format: PDF

Produktbeschreibung

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinical psychological scientists.

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Produktdetails

• Verlag: Cambridge University Press
• Erscheinungstermin: 2. April 2020
• Englisch
• ISBN-13: 9781108103268
• Artikelnr.: 66177612

Inhaltsangabe

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.