Sociability and positive emotionality: genetic and environmental contributions to the covariation between different facets of extraversion

The relation between sociability and positive affect is one of the most often replicated results of research on personality and subjective well-being. It is shown how behavior genetics can contribute to our understanding of the covariance between sociability and positive emotionality. The results of a multimethod behavior-genetic study with 158 monozygotic and 120 dizygotic twins are reported. In this study, sociability and two components of positive emotionality (positive affect, energy) were assessed by self-report and other report. Additionally, positive state affect was assessed in five situations and aggregated across situations. The results showed that there are strong genetic correlations between all variables. Furthermore, there are substantive correlations between the nonshared environmental components of the different variables. Shared environmental influences, however, seemed to be unimportant for explaining the correlations between sociability and the different components of positive emotionality. The results are discussed with respect to their implications for future research on sociability and positive emotionality.     

Why extraverts are happier than introverts: the role of mood regulation

Three studies tested the hypotheses that extraverts demonstrate better mood maintenance abilities than introverts and that these mood regulation abilities can account for the higher habitual happiness of extraverts. Using self- and peer-rated trait measures, Study 1 provided multimethod evidence that mood maintenance, but not mood repair, accounted for the link between extraversion and pleasant-unpleasant trait mood. Study 2 replicated this finding in a different sample of self-reports. Using a within-subjects design, Study 3 demonstrated that when confronted with an affectively ambivalent situation, extraverts maintained a more positive affect balance than introverts. Habitual mood maintenance mediated the effect of extraversion on pleasant-unpleasant affect change. Taken together, the findings support a self-regulation explanation of the extraversion-pleasant affect link.     

Positive organizational behavior and safety in the offshore oil industry: Exploring the determinants of positive safety climate

Much research has now documented the substantial influence of safety climate on a range of important outcomes in safety critical organizations, but there has been scant attention to the question of what factors might be responsible for positive or negative safety climate. The present paper draws from positive organizational behavior theory to test workplace and individual factors that may affect safety climate. Specifically, we explore the potential influence of authentic leadership style and psychological capital on safety climate and risk outcomes. Across two samples of offshore oil-workers and seafarers working on oil platform supply ships, structural equation modeling yielded results that support a model in which authentic leadership exerts a direct effect on safety climate, as well as an indirect effect via psychological capital. This study shows the importance of leadership qualities as well as psychological factors in shaping a positive work safety climate and lowering the risk of accidents.     

Comparative Latent State–Trait Analysis of Satisfaction with Life Measures: The Steen Happiness Index and the Satisfaction with Life Scale

The variance in satisfaction with life can be broken down into trait- and state-like components. We ran tests to determine if a new scale for the measurement of satisfaction with life, the Steen Happiness Index (SHI), was more sensitive to situational changes than the Satisfaction with Life Scale (SWLS), which is currently used as a gold standard, with well-established state–trait characteristics. The study consisted of 292 young adults aged 18–35, who were recruited and interviewed three times with 5-month intervals at their places of residence. They completed a set of questionnaires involving the SHI and the SWLS. A latent autoregressive state–trait model showed an adequate fit, χ² (56) = 81.35, p = .02, χ²/df = 1.45, RMSEA = .06, CFI = .98, SRMR = .06. The results indicated that the two scales are strongly correlated on the trait level (r = .98) and on the occasion-specific level (between r = .53 and r = .65) variables. For both scales, stable and occasion-specific influences determine inter-individual differences. For both scales, it is not possible to predict half of the variance by either traits or states measured earlier in time.     

A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods

Multirater (multimethod, multisource) studies are increasingly applied in psychology. Eid and colleagues (2008) proposed a multilevel confirmatory factor model for multitrait-multimethod (MTMM) data combining structurally different and multiple independent interchangeable methods (raters). In many studies, however, different interchangeable raters (e.g., peers, subordinates) are asked to rate different targets (students, supervisors), leading to violations of the independence assumption and to cross-classified data structures. In the present work, we extend the ML-CFA-MTMM model by Eid and colleagues (2008) to cross-classified multirater designs. The new C4 model (Cross-Classified CTC[M-1] Combination of Methods) accounts for nonindependent interchangeable raters and enables researchers to explicitly model the interaction between targets and raters as a latent variable. Using a real data application, it is shown how credibility intervals of model parameters and different variance components can be obtained using Bayesian estimation techniques.     

Motivation to regulate mood as a mediator between state extraversion and pleasant-unpleasant mood

This experience sampling study investigated whether state extraversion (i.e., momentary extraverted behavior) is positively associated with pleasant affect within persons and whether mood regulation motivation mediates this relationship. Seven times per day for one week, 162 participants reported on their state extraversion, pleasant-unpleasant mood, and mood regulation intention. Higher state extraversion was related to more pleasant mood, and this within-persons relationship held for 89% of individuals. Analyses with lagged predictors revealed that state extraversion predicted an increase in pleasant mood from one occasion to the next. Dispositional extraversion did not moderate the within-persons relationship. Hedonic mood regulation intention mediated the relation between state extraversion and pleasant-unpleasant mood. The findings support a self-regulation explanation of the extraversion-pleasant affect link.     

Assessment of Parental Acceptability and Preference for Behavioral Interventions for Childhood Problem Behavior in Saudi Arabia

Abstract

The present study assessed the treatment acceptability and preference for common behavior management strategies with parents of children with Autism Spectrum Disorder in Saudi Arabia. Specifically, parents were asked to evaluate medication, positive reinforcement, response cost, spanking, and timeout using a treatment acceptability measure. Results indicated that positive reinforcement had the highest average acceptability score, and that spanking had the lowest acceptability score. Treatment preference rankings corresponded to treatment acceptability ratings for all interventions assessed. Implications for working with diverse families and contexts are highlighted, and potential avenues for further research are described.     

Bayesian analysis of longitudinal multitrait–multimethod data with ordinal response variables

A new multilevel latent state graded response model for longitudinal multitrait–multimethod (MTMM) measurement designs combining structurally different and interchangeable methods is proposed. The model allows researchers to examine construct validity over time and to study the change and stability of constructs and method effects based on ordinal response variables. We show how Bayesian estimation techniques can address a number of important issues that typically arise in longitudinal multilevel MTMM studies and facilitates the estimation of the model presented. Estimation accuracy and the impact of between‐ and within‐level sample sizes as well as different prior specifications on parameter recovery were investigated in a Monte Carlo simulation study. Findings indicate that the parameters of the model presented can be accurately estimated with Bayesian estimation methods in the case of low convergent validity with as few as 250 clusters and more than two observations within each cluster. The model was applied to well‐being data from a longitudinal MTMM study, assessing the change and stability of life satisfaction and subjective happiness in young adults after high‐school graduation. Guidelines for empirical applications are provided and advantages and limitations of a Bayesian approach to estimating longitudinal multilevel MTMM models are discussed.     

A mixed Rasch model of dual-process conditional reasoning

A fine-grained dual-process approach to conditional reasoning is advocated: Responses to conditional syllogisms are reached through the operation of either one of two systems, each of which can rely on two different mechanisms. System1 relies either on pragmatic implicatures or on the retrieval of information from semantic memory; System2 operates first through inhibition of System1, then (but not always) through activation of analytical processes. It follows that reasoners will fall into one of four groups of increasing reasoning ability, each group being uniquely characterized by (a) the modal pattern of individual answers to blocks of affirming the consequent (AC), denying the antecedent (DA), and modus tollens (MT) syllogisms featuring the same conditional; and (b) the average rate of determinate answers to AC, DA, and MT. This account receives indirect support from the extant literature and direct support from a mixed Rasch model of responses given to 18 syllogisms by 486 adult reasoners.