PSYC 353
High-Risk Behaviors in Psychopathology: A Transdiagnostic Approach to Treatment and Research Fall 2021
Division III

Class Details

This seminar will provide students with a comprehensive understanding of the science, study, and treatment of high-risk behaviors commonly seen in severe psychopathology. Course topics will include: alcohol and substance use, disordered eating, impulsivity (for example, in the context of bipolar and borderline personality disorder), and self-injurious thoughts and behaviors (SITBs). Readings will involve empirical studies and theoretical papers that have shaped the study of these behaviors and their relationship/presence in DSM-5 psychological disorders. Additionally, readings will include studies that have examined prevalence rates of these behaviors, current models of etiology, distal and proximal indicators of risk, assessment and safety planning, science-based interventions, cultural factors/issues of diversity and social justice, and ethical considerations in research and treatment. Students will evaluate published research based on theory, methodological rigor, ethical considerations, diversity/inclusion, and current gaps in the literature that contribute to difficulty in predicting, preventing, and treating high-risk behaviors in clinical practice. Students will write a detailed grant proposal, including a review of the relevant literature, based on a selected course topic and framed as a potential future research study that would address an existing gap in the literature.
The Class: Format: seminar
Limit: 19
Expected: 19
Class#: 1288
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation: Attendance and active class participation, student-led discussions, 3 page grant proposal draft, 10-15 page final grant proposal with a brief oral presentation of the proposed project
Prerequisites: PSYC 201 and PSYC 252 or permission of instructor
Enrollment Preferences: Psychology majors
Distributions: Division III
Attributes: PSYC Area 5 - Clinical Psychology

Class Grid

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