Reinforcement Sensitivity Theory (RST) and the Five‐Factor Model (FFM) are two prominent personality accounts that have emerged from different backgrounds. Although the two accounts are applied to similar research topics, there is limited empirical work examining the correspondence between them. The current study explored the relationship between RST‐based personality traits and the FFM domains and facets in an undergraduate sample (n = 668). Regression analyses indicated that Sensitivity to Punishment (SP) was positively associated with Neuroticism and Agreeableness, and negatively associated with Extraversion, Openness, and Conscientiousness. In contrast, Sensitivity to Reward (SR) was positively associated with Extraversion and Neuroticism, and negatively associated with Agreeableness and Conscientiousness. Exploratory analyses at the facet level specified the relationship between SP, SR, and each domain. A factor analysis was also conducted to explore the higher‐order factor structure of RST and the FFM domains. Three factors emerged, which we labelled SP, Stability‐Impulsivity, and Sensation Seeking. Taken together, these findings suggest that there is substantial overlap between these two accounts of personality. Copyright © 2007 John Wiley & Sons, Ltd.

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Personality disorders are complex and highly challenging to treatment providers; yet, for clients with these problems, there exist very few treatment options that have been supported by research. Given the lack of empirically-supported therapies for personality disorders, it can be difficult to make treatment decisions for this population. The purpose of this paper is to present our view that basic behavioral principles can be integrated into the assessment and treatment of personality disorders to maximize success with such challenging behavioral patterns. Following a review of well-established behavioral assessment and treatment options, we offer additional suggestions upon which to base treatment: (a) the identification of relevant response classes and (b) the use of functional analysis in personality disorder treatment. We conclude with application of the proposed strategies to the examples of borderline and avoidant personality disorders.

Trichotillomania (TTM) involves the compulsive pulling of one’s bodily hair and is often associated with significant distress or impairment. The present case study concerns a college-aged woman, whose history of TTM extended over 5 years and had been unsuccessfully treated by psychotherapy and medication management. Although TTM can be a challenging disorder to treat, the literature indicates that cognitive-behavioral therapy (CBT) has been successful in this regard. Therefore, we implemented CBT based on the manual developed by Keuthen, Stein, and Christenson; specific elements of therapy used included relaxation, self-monitoring, habit reversal training (HRT), reinforcement/punishment contingencies, thought monitoring, and cognitive restructuring. This approach was successful, as the client evidenced a 72% decrease in hair-pulling after using HRT alone, and complete elimination of hair-pulling after introducing the cognitive-restructuring element. Impressively, the gains lasted not only in the short term, but also had been reportedly maintained at a 5-year follow-up.

Abstract. The goal of the present investigation was to expand the literature on impulsivity and Cluster B personality disorders (PDs) by conceptualizing impulsivity in a multidimensional manner. Two separate undergraduate samples (n = 223; n = 204) completed measures of impulsivity and Cluster B dimensions. Impulsivity was indeed predictive of Cluster B dimensions and, importantly, each PD scale exhibited a unique impulsivity profile. Findings for borderline PD scores were highly consistent across samples and strongly and positively associated with urgency and lack of perseverance, as expected. Findings for the other PD dimensions also exhibited a fair amount of consistency. Implications of these findings for diagnostic classification and treatment are discussed.