Screening out accident-prone Iranian drivers: Are their at-fault accidents related to driving behavior?

To provide a scientific background in road safety domain a better understanding of human risk factor is crucial. The aims of the present study were the following: (1) developing an accident prediction model for estimating the at-fault accidents of drivers (2) controlling for the regression-to-the-mean and screening out the accident-prone drivers (3) identification of significant behavioral predictors in at-fault accident occurrences and delving into the relationship between the aberrant driving behaviors and at-fault accidents of those identified as accident-prone. A questionnaire survey compiling various measures of personality type, aberrant driving behavior, demographic and accident history information of 1762 Iranian drivers was conducted in which 1375 male and 387 female participants were of the average age of 35.6 (S.D. = 11.987). To analyze the obtained data, the generalized linear modeling (GLM) approach was taken resulting in four models with various independent variables. The results indicated that age, gender, education level, years of active driving, and especially exposure had an effect on drivers’ at-fault accidents while there was no discernible effect from income level, personality type and area of residence. In the screening procedure, 715 drivers were identified as accident-prone. Behavioral comparison analyses indicated that the lapses, errors, ordinary and aggressive violations are different for the accident-prone drivers. A comparison between the accident-prone and non-accident-prone drivers revealed that the ordinary violations have considerably higher effect than the others on at-fault accidents. Implications of the results are discussed with regard to insurance policies and education interventions.     

The design of the MBT‐G adherence and quality scale

Few group psychotherapy studies focus on therapists' interventions, and instruments that can measure group psychotherapy treatment fidelity are scarce. The aim of the present study was to evaluate the reliability of the Mentalization‐based Group Therapy Adherence and Quality Scale (MBT‐G‐AQS), which is a 19‐item scale developed to measure adherence and quality in mentalization‐based group therapy (MBT‐G). Eight MBT groups and eight psychodynamic groups (a total of 16 videotaped therapy sessions) were rated independently by five raters. All groups were long‐term, outpatient psychotherapy groups with 1.5 hours weekly sessions. Data were analysed by a Generalizability Study (G‐study and D‐study). The generalizability models included analyses of reliability for different numbers of raters. The global (overall) ratings for adherence and quality showed high to excellent reliability for all numbers of raters (the reliability by use of five raters was 0.97 for adherence and 0.96 for quality). The mean reliability for all 19 items for a single rater was 0.57 (item range 0.26–0.86) for adherence, and 0.62 (item range 0.26–0.83) for quality. The reliability for two raters obtained mean absolute G‐coefficients on 0.71 (item range 0.41–0.92 for the different items) for adherence and 0.76 (item range 0.42–0.91) for quality. With all five raters the mean absolute G‐coefficient for adherence was 0.86 (item range 0.63–0.97) and 0.88 for quality (item range 0.64–0.96). The study demonstrates high reliability of ratings of MBT‐G‐AQS. In models differentiating between different numbers of raters, reliability was particularly high when including several raters, but was also acceptable for two raters. For practical purposes, the MBT‐G‐AQS can be used for training, supervision and psychotherapy research.     

Everyday dynamics in generalized social and political trust

We applied the traits as density distributions of states approach to generalized expectations of trustworthiness, namely, social trust and trust in politicians. Using an experience sampling study (N = 47), we assessed state social trust and trust in politicians four times a day for 2 weeks. Within-person variability was found to be low but meaningful as it was predicted by variations in affect, interactional trust, and prior experiences. There was high stability in interindividual differences in the mean levels of state trustworthiness expectations and in the levels of within-person variability. Our study provides a comprehensive understanding of stability and variability in generalized expectations of trustworthiness and indicates broad applicability of the traits as density distributions of states approach.     

Big Five traits and relationship satisfaction: The mediating role of self-esteem

This study examined the mediating role of self-esteem in the association between Big Five traits and relationship satisfaction. Using data of 237 heterosexual couples and the Actor-Partner Interdependence Mediation Model (APIMeM), self-esteem mediated the association between Big Five traits and relationship satisfaction. We also tested the directionality of the association using longitudinal data of 141 couples. Results indicate that only agreeableness (and neuroticism marginally) predicts relationship satisfaction two years later, but relationship satisfaction predicted partner’s extraversion. Further, significant indirect effects emerged between relationship satisfaction, self-esteem, and later neuroticism. These results underline the importance of studying Big Five traits and self-esteem conjointly when studying relationship satisfaction. Furthermore, testing for alternative longitudinal associations elucidates the role of romantic relationships in personality development.     

Velocity explains the links between personality states and affect

The present research examined whether perceived rate of progress toward a goal (velocity) mediated the relationships between personality states and affective states. Drawing from control theories of self-regulation, we hypothesized (i) that increased velocity would mediate the association between state extraversion and state positive affect, and (ii) that decreased velocity would mediate the association between state neuroticism and state negative affect. We tested these hypotheses in 2 experience sampling methodology studies that each spanned 2 weeks. Multilevel modeling analyses showed support for each of the bivariate links in our model, and multilevel path analyses supported our mediation hypotheses. We discuss implications for understanding the relations between personality states and affective states, control theories of self-regulation, and goal striving.     

Childhood antecedents of Agreeableness: A longitudinal study from preschool to late adolescence

Although the consensus view is that Agreeableness originates from childhood difficultness and regulatory deficits, few studies have investigated such assumptions longitudinally. In this study, we examined this issue by assessing enduring and mediating effects of self-regulation as well as the impact of parenting behaviors on the development of Agreeableness from preschool to late adolescence. Longitudinal data from 965 Norwegian families following children from 1.5 years to 16.5 years were used. Path analyses revealed childhood difficultness at age 4 to be related to Agreeableness at age 16.5; this effect was mediated through emotion regulation in late childhood. However, such mediation effects were primarily found when parents used punitive practices towards their children. Our findings point to personality coherence throughout development.     

Short and extra-short forms of the Big Five Inventory–2: The BFI-2-S and BFI-2-XS

The Big Five Inventory–2 (BFI-2) uses 60 items to hierarchically assess the Big Five personality domains and 15 more-specific facet traits. The present research develops two abbreviated forms of the BFI-2—the 30-item BFI-2-S and the 15-item BFI-2-XS—and then examines their measurement properties. At the level of the Big Five domains, we find that the BFI-2-S and BFI-2-XS retain much of the full measure’s reliability and validity. At the facet level, we find that the BFI-2-S may be useful for examining facet traits in reasonably large samples, whereas the BFI-2-XS should not be used to assess facets. Finally, we discuss some key tradeoffs to consider when deciding whether to administer an abbreviated form instead of the full BFI-2.     

Getting to the heart of personality in early childhood: Cardiac electrophysiology and stability of temperament

Can detection of highly stable individual differences in temperament in early childhood be enhanced using measures of resting heart rate (HR) and respiratory sinus arrhythmia (RSA)? The current longitudinal study (N = 216, 50% female; two to four years old) tested the statistical moderating effects of longitudinal change in resting HR and RSA on stability of mother-rated temperament. Children with the smallest decreases in resting HR and smallest increases in resting RSA had the most stable individual differences in effortful control. In contrast, those with the largest increases in resting RSA had the most stable individual differences in surgency. Including information on HR and RSA can be useful, though the effects depend on the trait and physiological indicator in question.     

Measuring the personality of Chinese: QZPS versus NEO PI-R

The response patterns of Chinese subjects to the items and facets of NEO Personality Inventory Revised (NEO PI-R) were investigated. The Big Five-factor structure underlying this instrument was not found, while a seven-factor structure, more recently proposed to represent the Chinese personality, emerged. A cross-cultural strategy was adopted to analyze these results and mechanisms through which culture influences personality, behavioral categories and specific behaviors were proposed. The results showed that the Big Seven model of Chinese personality was stable and Western personality questionnaires could not accurately measure the personality characteristics of the Chinese.