نتایج جستجو برای: international personality item pool
تعداد نتایج: 469149 فیلتر نتایج به سال:
BACKGROUND While the role of some personality traits has been comprehensively explored, scientific study of others, such as patience has been neglected. Psychologists have paid scant attention to patience as a personality trait, character strength or virtue. OBJECTIVES The current study examined the relationship between patience and life satisfaction, mental health, and personality. MATERIA...
Over the past two decades, evidence has suggested that personality disorders (PDs) can be conceptualized as extreme, maladaptive variants of general personality dimensions, rather than discrete categorical entities. Recognizing this literature, the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) alternative PD model in Section III defines PDs partially through 25 ma...
Over the past two decades, evidence has suggested that personality disorders (PDs) can be conceptualized as extreme, maladaptive variants of general personality dimensions, rather than discrete categorical entities. Recognizing this literature, the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) alternative PD model in Section III defines PDs partially through 25 ma...
La autoeficacia académica es un potente predictor del éxito académico, sin embargo, existen diversos factores que lo predisponen. Debido a ello se propone modelo explicativo basado en la autorregulación de actividades académicas, afecto positivo y personalidad. Se utilizó regresión lineal múltiple jerárquico para sustentar propuesta predictiva modelo. utilizaron Escala Autoeficacia Percibida Es...
We introduce normalized nonnegative models (NNM) for explorative data analysis. NNMs are partial convexifications of models from probability theory. We demonstrate their value at the example of item recommendation. We show that NNM-based recommender systems satisfy three criteria that all recommender systems should ideally satisfy: high predictive power, computational tractability, and expressi...
AIM To examine the relationship between the Big-Five personality model and autodestructive behavior symptoms, namely Autodestructiveness and Suicidal Depression in two groups of participants: clinical and non-clinical adolescents. METHODS Two groups of participants, clinical (adolescents with diagnosis of psychiatric disorder based on clinical impression and according to valid diagnostic crit...
Traditional personality assessment methods are based on behavioral, observational, and self-report measures [8], each of which suffers from weaknesses that stem from ambiguity (behavioral measures), cost-payoff ratio (professional observation), and reliability (self-report). Assessment through video game play offers a way of quantifying behavior, automating observations, and side-stepping self-...
Assessment of personality disorders (PD) has been hindered by reliance on the problematic categorical model embodied in the most recent Diagnostic and Statistical Model of Mental Disorders (DSM), lack of consensus among alternative dimensional models, and inefficient measurement methods. This article describes the rationale for and early results from a multiyear study funded by the National Ins...
Three studies were conducted to develop and validate the Big Five Inventory-2 (BFI-2), a major revision of the Big Five Inventory (BFI). Study 1 specified a hierarchical model of personality structure with 15 facet traits nested within the Big Five domains, and developed a preliminary item pool to measure this structure. Study 2 used conceptual and empirical criteria to construct the BFI-2 doma...
To test the hypothesis that personality structure differs across levels of cognitive ability, personality traits of 154 participants of various ages and educational backgrounds were rated by themselves and two well-informed judges using the Estonian Personality Item Pool NEO (EPIP-NEO; Mõttus, Pullmann, & Allik, 2006). When participants were divided into two groups on the basis of their ability...
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