Reinforcement Sensitivity Theory and Proposed Personality Traits for the Dsm-v: Association with Mood Disorder Symptoms Page: 2
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Kilmer, Jared Newman. Reinforcement Sensitivity Theory and Proposed Personality
Traits for the DSM-V: Association with Mood Disorder Symptoms. Master of Science
(Psychology), May 2013, 92 pp., 11 tables, references, 231 titles.
The current work assesses the relationship between reinforcement sensitivity theory
(RST) and Personality Traits for the DSM-5 (PID-5), to explore the degree to which they are
associated with mood disorder symptoms. Participants (N= 138) from a large public university
in the South were administered a semi-structured interview to assess for current mood disorder
and anxiety symptoms. They were also administered self-report inventories, including the
Behavioral Inhibition System (BIS) and Behavioral Approach System (BAS) scales and the
Personality Inventory for DSM-5 (PID-5). Results indicate that both the BIS/BAS scales and the
PID-5 scales were strongly associated with current mood symptoms. However, the maladaptive
personality traits demonstrated significantly greater associations with symptoms compared to the
BIS/BAS scales. Results also indicated support for using a 2-factor model of BIS as opposed to a
single factor model. Personality models (such as the five factor model) are strongly associated
with mood symptoms. Results from this study add to the literature by demonstrating credibility
of an alternative five-factor model of personality focused on maladaptive traits. Knowledge of
individual maladaptive personality profiles can be easily obtained and used to influence case
conceptualizations and create treatment plans in clinical settings.
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Kilmer, Jared Newman. Reinforcement Sensitivity Theory and Proposed Personality Traits for the Dsm-v: Association with Mood Disorder Symptoms, thesis, May 2013; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc271842/m1/2/?q=aRCHIVES: accessed June 5, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .