Peter D. Soyster
University of California, Berkeley
12 Papers
13 Citations
Peter D. Soyster is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Psychopathology & Medicine. The author has an hindex of 6, co-authored 10 publications. Previous affiliations of Peter D. Soyster include University of California.
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Papers
Open trial of a personalized modular treatment for mood and anxiety.
Aaron J. Fisher,Hannah G. Bosley,Katya C. Fernandez,Jonathan W. Reeves,Peter D. Soyster,Allison E. Diamond,Jonathan Barkin +6 more
TL;DR: The present study collected intensive repeated measures data prior to therapy in order to perform person-specific factor analysis and dynamic factor modeling and generated personalized modular treatment plans on a person-by-person basis.
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Folk Classification and Factor Rotations: Whales, Sharks, and the Problems With the Hierarchical Taxonomy of Psychopathology (HiTOP):
Gerald J. Haeffel,Bertus F. Jeronimus,Bonnie N. Kaiser,Lesley Jo Weaver,Peter D. Soyster,Aaron J. Fisher,Ivan Vargas,Jason T. Goodson,Wei Lu +8 more
TL;DR: The Hierarchical Taxonomy of Psychopathology (HiTOP) uses factor analysis to group self-reported symptoms of mental illness (i.e., like goes with like) as discussed by the authors.
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Evidence for the Feasibility of Person-Specific Ecological Momentary Assessment Across Diverse Populations and Study Designs
Peter D. Soyster,Hannah G. Bosley,Jonathan W. Reeves,Allison D. Altman,Aaron J. Fisher +4 more
- 30 Dec 2019
TL;DR: The present study aggregated participants across seven studies spanning diverse clinical and community populations and suggested feasibility of idiographic EMA for collecting the data needed to understand psychopathology and change in treatment at the level of the individual.
Involving stakeholders in the design of ecological momentary assessment research: An example from smoking cessation
Peter D. Soyster,Aaron J. Fisher +1 more
TL;DR: A general approach for including stakeholders in the development of EMA research design is introduced, and a systematic and reproducible process through which extant research and stakeholder experience can be leveraged to make design decisions is presented.
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