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"Personality Assessment"
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Personality Assessment in DSM-5: Empirical Support for Rating Severity, Style, and Traits
Despite a general consensus that dimensional models are superior to the categorical representations of personality disorders in DSM-IV, proposals for how to depict personality pathology dimensions vary substantially. One important question involves how to separate clinical severity from the style of expression through which personality pathology manifests. This study empirically distinguished stylistic elements of personality pathology symptoms from the overall severity of personality disorder in a large, longitudinally assessed clinical sample (N = 605). Data suggest that generalized severity is the most important single predictor of current and prospective dysfunction, but that stylistic elements also indicate specific areas of difficulty. Normative personality traits tend to relate to the general propensity for personality pathology, but not stylistic elements of personality disorders. Overall, findings support a three-stage diagnostic strategy involving a global rating of personality disorder severity, ratings of parsimonious and discriminant valid stylistic elements of personality disorder, and ratings of normative personality traits.
Journal Article
Convergence of the dimensional assessment of personality pathology (DAPP-BQ) and the five-factor personality inventory for the international classification of diseases 11th edition (FFiCD) in the context of the five-factor model and personality disorders
The current manuscript presents the convergence of the Dimensional Assessment of Personality Pathology (DAPP-BQ), using its short form the DAPP-90, and the Five-Factor Personality Inventory for International Classification of Diseases (ICD-11), the FFiCD, in the context of the five-factor personality model and the categorical approach of personality disorders (PDs). The current manuscript compares the predictive validity of both the FFiCD and the DAPP-90 regarding personality disorder scales and clusters. Results demonstrate a very high and meaningful convergence between the DAPP-90 and the FFiCD personality pathology models and a strong alignment with the FFM. The DAPP-90 and the FFiCD also present an almost identical predictive power of PDs. The DAPP-90 accounts for between 18% and 47%, and the FFiCD between 21% and 47% of PDs adjusted variance. It is concluded that both DAPP-90 and FFiCD questionnaires measure strongly similar pathological personality traits that could be described within the frame of the FFM. Additionally, both questionnaires predict a very similar percentage of the variance of personality disorders.
Journal Article
Predicting Active Users' Personality Based on Micro-Blogging Behaviors
Because of its richness and availability, micro-blogging has become an ideal platform for conducting psychological research. In this paper, we proposed to predict active users' personality traits through micro-blogging behaviors. 547 Chinese active users of micro-blogging participated in this study. Their personality traits were measured by the Big Five Inventory, and digital records of micro-blogging behaviors were collected via web crawlers. After extracting 839 micro-blogging behavioral features, we first trained classification models utilizing Support Vector Machine (SVM), differentiating participants with high and low scores on each dimension of the Big Five Inventory [corrected]. The classification accuracy ranged from 84% to 92%. We also built regression models utilizing PaceRegression methods, predicting participants' scores on each dimension of the Big Five Inventory. The Pearson correlation coefficients between predicted scores and actual scores ranged from 0.48 to 0.54. Results indicated that active users' personality traits could be predicted by micro-blogging behaviors.
Journal Article
Fit : when talent and intelligence just won't cut it
This book answers the fundamental performance questions that people have asked for generations. Why is that some individuals are consistently high performers, how do they keep performing in varying situations, organisations and contexts, why can some people just not seem to be able to crack that code, and why do some individuals perform exceptionally well in certain organisations but not in others? This fresh new book challenges current thinking about the war for talent and the role intelligence plays in high performance sport and business. Over 3,000 profiles of elite corporate managers and professional elites have been studied to find the answers as to why certain individuals consistently get exceptional results and why great talent doesn't transfer across teams and businesses. This book considers real live cases and well-known examples of spectacular successes and failures through the lens of the Hogan Personality Tools. This shows how elite performance is dependent on three things; understanding what role your behaviours are best suited to, what culture you perform your best in and how you're likely to derail your career. Armed with this knowledge, this innovative text allows you to connect the dots on your past performances and prepares you to find roles, organisations and teams which best fit you, opening the door for elite performance. Instead of talent management and changing behaviour, look to Fit as a key to your performance improvement. You'll find that performance does not have a one-size-fits-all formula - it is bespoke, personal and different for each individual.
Book
The added value of implicit motives for management research Development and first validation of a Brief Implicit Association Test (BIAT) for the measurement of implicit motives
Many Management (sub-)disciplines, from Organizational Behavior and Marketing to Accounting and Strategy, are interested in antecedents and consequences of individual attitudes and traits. A key aspect of personality profiles are explicit and implicit motives. Yet, Management scholars mainly focus on explicit motives, with limited attention to implicit motives. We argue that this state of affairs probably came into being because current Management researchers mainly rely on implicit motive measures that are either difficult to apply or to develop, hampering researchers from applying implicit motive measures. To overcome the downsides of available instruments, we develop a Brief Implicit Association Test (BIAT) as an efficient, reliable and valid measure of implicit motives, particularly the needs for achievement, affiliation and power. To explore our BIAT's predictive validity, we apply this measure to a specific research domain within Management: Entrepreneurship. We examine implicit motives' association with entrepreneurial self-efficacy, business founding, and financial profitability. Our results show that the introduction of implicit motives can unlock stranded discussions in this research domain. Overall, we argue that implicit motives can help to push the boundaries of the study of deep-level attributes in a wide range of organizational and managerial settings.
Journal Article
Accumulating Evidence for Parent-Child Interaction Therapy in the Prevention of Child Maltreatment
In a randomized controlled trial, the effectiveness of Parent-Child Interaction Therapy (PCIT) and correlates of maltreatment outcomes were examined. Mothers (N = 150) had a history or were at high risk of maltreating their children. After 12 weeks and compared to waitlist, PCIT mothers were observed to have improved parent-child interactions and reported better child behavior and decreased stress. At PCIT completion, improvements continued and mothers reported less child abuse potential and had improved maternal sensitivity. Also, PCIT completers were less likely to be notified to child welfare than noncompleters. Finally, those families not notified post-PCIT showed greater reductions in child abuse potential and improvements in observed sensitivity during treatment. Implications for theory and practice are discussed.
Journal Article