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.
| ISBN: | 9781316639528 |
| Publication date: | 2nd April 2020 |
| Author: | Aidan G. C. (University of Pittsburgh) Wright |
| Publisher: | Cambridge University Press |
| Format: | Paperback |
| Pagination: | 600 pages |
| Series: | Cambridge Handbooks in Psychology |
| Genres: |
Clinical psychology Medical research Physiological and neuro-psychology, biopsychology Philosophy of science Data science and analysis: general Research methods: general |