The Relationship Between the Five-Factor Model of Personality and Symptoms of Clinical Disorders: A Meta-Analysis

This paper describes a meta-analysis of 33 studies that examined the relationship between the Five-Factor Model and symptoms of clinical disorders. The typical pattern found associated with clinical disorders or measures of clinical disorders was high Neuroticism, low Conscientiousness, low Agreeableness, and low Extraversion. Comparisons of diagnostic groups and norm groups showed higher levels of Neuroticism and lower levels of Extraversion than did studies of correlations between measures of the level of a disorder and measures of the five factors. Studies of observer ratings of the five factors showed lower levels of Neuroticism and Openness than did studies of self-report ratings. These and other findings relating to type of scale and type of comparison group have possible clinical implications and raise several questions worthy of further research.     

The Refined Extension Principle for Semantics of Dynamic Logic Programming

Over recent years, various semantics have been proposed for dealing with updates in the setting of logic programs. The availability of different semantics naturally raises the question of which are most adequate to model updates. A systematic approach to face this question is to identify general principles against which such semantics could be evaluated. In this paper we motivate and introduce a new such principle the refined extension principle. Such principle is complied with by the stable model semantics for (single) logic programs. It turns out that none of the existing semantics for logic program updates, even though generalisations of the stable model semantics, comply with this principle. For this reason, we define a refinement of the dynamic stable model semantics for Dynamic Logic Programs that complies with the principle.     

Personal and Situational Determinants of Personality Responses: A Partial Reanalysis and Reinterpretation of the Schmit et al. (1995) Data

Using generalizability theory, a partial reanalysis and reinterpretation of the Schmit et al. (1995) data was conducted with undergraduate students who were asked to respond to both noncontextualized and work-specific versions of the NEO Five-Factor Inventory (Costa & McCrae, 1989) either honestly (N = 100) or as if they were applying for a job (N = 100). Results indicated that the person variance was larger in the applicant compared to the general instructions condition, that the person × situation interaction accounted for significant variance across all scales included in the study (Neuroticism, Extraversion, Agreeableness, and Conscientiousness), that these person × situation effects were attenuated in the applicant instructions condition as compared to the general instructions condition, and that responses to the Neuroticism scale were most affected by this interaction. Implications for the use of personality constructs in personnel selection include a shift from concerns of faking to a concern for proper contextualization of personality measures with the goal of maximizing prediction of work-related behavior.     

Classical Test Theory as a first-order Item Response Theory: Application to true-score prediction from a possibly nonparallel test

We give an account of Classical Test Theory (CTT) in terms of the more fundamental ideas of Item Response Theory (IRT). This approach views classical test theory as a very general version of IRT, and the commonly used IRT models as detailed elaborations of CTT for special purposes. We then use this approach to CTT to derive some general results regarding the prediction of the true-score of a test from an observed score on that test as well from an observed score on a different test. This leads us to a new view of linking tests that were not developed to be linked to each other. In addition we propose true-score prediction analogues of the Dorans and Holland measures of the population sensitivity of test linking functions. We illustrate the accuracy of the first-order theory using simulated data from the Rasch model, and illustrate the effect of population differences using a set of real data.This research is collaborative in every respect and the order of authorship is alphabetical. It was begun when both authors were on the faculty of the Graduate School of Education at the University of California, Berkeley.We would like to thank both Neil Dorans, Skip Livingston and two anonymous referees for many suggestions that have greatly improved this paper.     

An analysis of generalized contextual control of conditional discriminations

This research asked whether performance engendered by contextual control procedures would generalize to novel matching-to-sample stimulus arrangements. Two studies were conducted with young adult participants. In Study 1, participants first were trained to perform the contextually controlled conditional discrimination, X-AB, where the sample-comparison relations A1B1 and A2B2 were reinforced in the presence of contextual stimulus X1, but the relations A1B2 and A2B1 were reinforced in the presence of X2. Then, a new conditional discrimination, CD, was established via an unreinforced-conditional-selection procedure. Next, participants were tested for X-CD contextual control performance. Participants selected the originally established CD relations in the presence of X1, but the opposite relations in the presence of X2. Next, an additional conditional relation, EF, was established. Then, participants received trials consisting of entirely novel contextual stimuli, Z1 and Z2, and EF samples and comparisons. Selections were consistent with contextual control; that is, participants selected the originally established EF relations in the presence of one of the novel contextual Z stimuli, but selected the opposite EF relations in the presence of the other contextual Z stimulus. Study 2 systematically replicated these results with naive participants and demonstrated the necessity of first establishing a conditional discrimination prior to tests for generalized contextual control. The findings are discussed in terms of unreinforced conditional selection, stimulus classes, and new ways in which contextual control performances can emerge.     

A sexual selection theory longitudinal analysis of sexual segregation and integration in early adolescence

The three objectives in this longitudinal study were motivated by sexual selection theory. The theory specifies the role of sexually segregated groups and the effects of dominance in male groups and relational/indirect aggression in female groups for heterosexual relationships. Using a multi-method, multi-informant, longitudinal design we studied youngsters (N=138) across their first two years of middle school. First, we examined the nature of change in segregation and dating popularity across two years during early adolescence. Second, a model derived from sexual selection theory is tested to explain the ways in which boys and girls are nominated for hypothetical dates (dating popularity). Third, we examined the role of "poke and push courtship" behavior in boys' and girls' dating popularity. Results indicate that although groups did not become more integrated with time, changes in peer group sexual integration co-varied dynamically with dating popularity. Secondly, dominance-related strategies were more important for boys than girls in dating popularity whereas indirect, or relational, aggression strategies were more important for girls than boys. Third, "poke and push courtship" behaviors did not influence peer group integration or dating.     

Similar minds in the family: COVID-19 centrality and relationship quality

We examined whether perceived similarity in COVID-19 centrality (i.e., the extent to which one thinks of the pandemic as shaping current and future life) is associated with family relationship quality during the pandemic. Thinking that other family members are similar to oneself regarding the pandemic's centrality may improve the quality of family relationships. We collected data from Turkish family triads (i.e., mother, father, 18–25 years old child) and had 481 participants from 180 families. Participants rated their similarity in COVID-19 centrality with the other two family members and reported the general and daily quality of their relationship with them (relationship satisfaction, closeness, conflict). We analyzed the data using the Social Relations Model. We found that family members who, on average, perceived more similarity in COVID-19 centrality reported higher levels in positive attributes of general relationship quality (i.e., satisfaction and closeness). The effects on conflict and daily relationship quality were less conclusive. This research confirms that family members' reactions during the COVID-19 pandemic are interdependent. Perceiving that other family members are of similar minds about the centrality of the pandemic relates positively to some aspects of relationship quality.     

Item selection methods with exposure and time control for computerized classification test

Computerized classification testing (CCT) commonly chooses items maximizing information at the cut score, which yields the most information for decision-making. However, a corollary problem is that all examinees will be given the same set of items, resulting in high test overlap rate and unbalanced item bank usage, which threatens test security. Moreover, another pivotal issue for CCT is time control. Since both the extremely long response time (RT) and large RT variability across examinees intensify time-induced anxiety, it is crucial to reduce the number of examinees exceeding the time limitation and the differences between examinees' test-taking times. To satisfy these practical needs, this paper proposes the novel idea of stage adaptiveness to tailor the item selection process to the decision-making requirement in each step and generate fresh insight into the existing response time selection method. Results indicate that a balanced item usage as well as short and stable test times across examinees can be achieved via the new methods.