Workplace and family support and work–life balance: Implications for individual psychological availability and energy at work

This study presents three studies that explore the ways in which multiple support sources (workplace and family social support) help individuals to experience work–life balance (WLB) and thereby develop a sense psychological availability and positive energy at work. We examine this serial mediation model across three population groups in Israel using time-lagged data from part-time students (sample 1), as well cross-sectional data from workers in the industrial sector (sample 2) and physicians in public hospitals (sample 3). The results indicate a complex process in which workplace and family support augment employee positive energy through WLB and psychological availability. The findings shed light on the importance of support from work and nonwork sources for the pursuit of employees to achieve balance in the spheres of work and life and suggest that the WLB helps in the development of psychological availability and augmenting employee positive energy.     

Analysing multisource feedback with multilevel structural equation models: Pitfalls and recommendations from a simulation study

When multisource feedback instruments, for example, 360-degree feedback tools, are validated, multilevel structural equation models are the method of choice to quantify the amount of reliability as well as convergent and discriminant validity. A non-standard multilevel structural equation model that incorporates self-ratings (level-2 variables) and others’ ratings from different additional perspectives (level-1 variables), for example, peers and subordinates, has recently been presented. In a Monte Carlo simulation study, we determine the minimal required sample sizes for this model. Model parameters are accurately estimated even with the smallest simulated sample size of 100 self-ratings and two ratings of peers and of subordinates. The precise estimation of standard errors necessitates sample sizes of 400 self-ratings or at least four ratings of peers and subordinates. However, if sample sizes are smaller, mainly standard errors concerning common method factors are biased. Interestingly, there are trade-off effects between the sample sizes of self-ratings and others’ ratings in their effect on estimation bias. The degree of convergent and discriminant validity has no effect on the accuracy of model estimates. The χ² test statistic does not follow the expected distribution. Therefore, we suggest using a corrected level-specific standardized root mean square residual to analyse model fit and conclude with further recommendations for applied organizational research.     

A caveat on the Savage–Dickey density ratio: The case of computing Bayes factors for regression parameters

The Savage–Dickey density ratio is a simple method for computing the Bayes factor for an equality constraint on one or more parameters of a statistical model. In regression analysis, this includes the important scenario of testing whether one or more of the covariates have an effect on the dependent variable. However, the Savage–Dickey ratio only provides the correct Bayes factor if the prior distribution of the nuisance parameters under the nested model is identical to the conditional prior under the full model given the equality constraint. This condition is violated for multiple regression models with a Jeffreys–Zellner–Siow prior, which is often used as a default prior in psychology. Besides linear regression models, the limitation of the Savage–Dickey ratio is especially relevant when analytical solutions for the Bayes factor are not available. This is the case for generalized linear models, non-linear models, or cognitive process models with regression extensions. As a remedy, the correct Bayes factor can be computed using a generalized version of the Savage–Dickey density ratio.     

Nature vs. nurture is nonsense: On the necessity of an integrated genetic,social, developmental,and personality psychology

The field of behavioural genetics unambiguously demonstrates that heritable individual differences exist and are important in explaining human behaviour. Despite this, some psychological perspectives ignore this research. If we wish to comprehensively understand the impact of parenting, the environment, or any social factor, however, we must engage with genetics. In this article, I review research that reveals that genes affect not only our personalities, but the way that we understand and react to the social world. Studies further reveal that notable life events are in part explained by genetic variance. I detail how this could be the case through active, evocative, and passive genetic correlations, and go on to argue that all complex psychological traits are likely the result of multifaceted gene by environment interactions. A mistaken belief that genetic influence implies genetic essentialism, and is therefore tantamount to prejudice, is raised as possible reason why heritability is often ignored in the social sciences. The article concludes with practical suggestions for how we can embrace behavioural genetics as our methods struggle to match the divine complexity of human existence.     

Movement Speed and Accuracy in Space and Time: The Complementarity of Error Distributions

Movement speed-accuracy trade-off is a function of the space-time constraints of the task. We investigated the space-time account of Hancock and Newell (1985) and the hypothesis of complementarity between the four moments of the error distribution in space and time. Twelve participants performed 15 conditions in a line drawing task composed of different spatial (10, 20, and 30 cm) and temporal (250 to 2,500 ms) criteria. The results showed that all moments of distributions changed systematically between conditions but there were some departures from the Hancock and Newell predictions. In contrast, individual analysis revealed the complementarity of the spatial and temporal error including a trade-off between the four moments of error. These findings support a complementary space-time account of movement speed and accuracy.     

Profiting from poverty

We consider whether and under what conditions it is morally illicit to profit from poverty. We argue that when profit counterfactually depends on poverty, the agent making the profit is morally obliged to relinquish it. Finally, we argue that the people to whom the profit should be redirected are those on whom it counterfactually depends.     

Caregivers’ emotional competence and behavioral responsiveness as correlates of early childcare workers’ relationships with children in their care

In the current study, we examined associations among early childcare workers’ emotional competence, observed responsiveness, comfort with socioemotional teaching practices, and the quality of their relationships with children in their care. The participants were 100 early childcare workers (72 center-based Early Head Start teachers and 28 family childcare providers). Results showed that caregivers’ emotion regulation ability was positively associated with caregiver–child relational closeness. Understanding and regulation of emotion were both positively associated with childcare workers’ comfort with socioemotional teaching practices. Their observed responsiveness was positively related to relational closeness and negatively related to relational conflict. Findings are consistent with aspects of the prosocial classroom model, which asserts that educators high in emotional and social competence tend to adopt childcare practices that result in supportive relationships with children. Results provide insight into whether childcare workers’ responsiveness to young children and their perceived socioemotional teaching practices provide a pathway between emotional competence and the quality of caregiver–child relationships.     

Case–contrast study about parent–infant interaction in a Brazilian sample of siblings of children with autism spectrum disorders

Siblings of children with autism spectrum disorders (ASD) present greater susceptibility to developmental problems, in comparison with siblings of typically developing children. The greater prevalence of mental health disorders among parents of children with ASD increases younger siblings’ vulnerability to emotional problems. The aim of this study is to compare the interaction between carers and babies aged 2 to 26 months (M = 11.7, SD = 6.9) who are siblings of children with ASD (ASD dyads) with the interaction of dyads of siblings of typically developing children (TD dyads). The protocol of Clinical Indicators of Risk for Child Development and the Coding Interactive Behaviour measures were used to evaluate interaction. ASD dyads presented higher scores of constriction in their interaction, P = .024, with babies presenting higher scores of withdrawal behavior, P = .003, and carers presenting higher scores of depressive mood, P = .008, when compared to TD dyads. The ASD dyads have interactive impairments more frequently than do the TD dyads.     

Concordance of teacher-rated and performance-based measures of executive functioning in preschoolers

The most common method used to evaluate child behavior and functioning is rating scales completed by parents and/or teachers. Given that executive functioning (EF) plays a fundamental role in the developing child’s cognitive, behavioral, and social-emotional development, it would be ideal if ratings of EF and performance-based EF measures assess the same construct. However, most studies report a small to negligible association between performance-based measures and ratings of EF. There are few studies investigating this association for preschoolers, and most only include parent ratings. Teachers may be more reliable reporters of EF behaviors due to the higher demand for EF skills in the preschool setting than at home and because teachers may have a better sense of what behaviors are normative. In this study, we reviewed the associations between three EF rating scales completed by teachers on 243 preschool children. Results showed small to moderate correlations with EF measures of inhibition and cognitive flexibility/switching for all three scales, with the strongest associations observed between Child Behavior Rating Scale (CBRS) Behavioral Regulation subscale and child EF measures. Exploratory multivariate path analyses showed that, after controlling for age, sex, and socioeconomic status (SES), Behavioral Regulation significantly predicted performance-based measures of EF and accounted for incrementally more variance in the models. We conclude that in ideal situations, it is best to measure EF using both rating scales and performance-based measures of EF. The CBRS seems to be a sensitive measure of EF in preschoolers and may be a helpful brief screening tool for use with teachers.