Parents’ postnatal depressive symptoms and their children's academic attainment at 16 years: Pathways of risk transmission

The aim of the study was to examine whether parents’ increased postnatal depressive symptoms predicted children's academic attainment over time and whether the parent–child relationship, children's prior academic attainment, and mental health mediated this association. We conducted secondary analyses on the Avon Longitudinal Study of Parents and Children data (12,607 mothers, 9,456 fathers). Each parent completed the Edinburgh-Postnatal Depression Scale at 8 weeks after the child's birth (predictor) and a questionnaire about the mother–child and father–child relationship at 7 years and 1 month (mediator). The children's mental health problems were assessed with the teacher version of the Strengths and Difficulties Questionnaire at 10–11 years (mediator). We used data on the children's academic attainment on UK Key Stage 1 (5–7 years; mediator) and Key Stage 4 (General Certificate of Secondary Education 16 years) (outcome). We adjusted for the parents’ education, and child gender and cognitive ability. The results revealed that parents’ depressive symptoms at 8 weeks predicted lower academic performance in children at 16 years. Mothers’ postnatal depressive symptoms had an indirect effect through children's mental health problems on academic outcomes at 16 years via negative mother–child relationship, and prior academic attainment. There was a significant negative indirect effect of fathers’ postnatal depressive symptoms on academic attainment at 16 years via negative father–child relationship on child mental health. The findings suggest that the family environment (parental mental health and parent–child relationship) and children's mental health should be potential targets for support programmes for children of depressed parents.     

Behavioral extremity moderates the association between certainty in attitudes about COVID and willingness to engage in mitigation-related behaviors

People generally intend to act more on beliefs and attitudes about which they have greater certainty. However, we introduce a boundary condition to the positive association between certainty and behavioral intentions—behavioral extremity. Uncertainty about a threatening issue like COVID-19 can be disconcerting, and we propose that uncertain people cope in part through increased openness to extreme actions like accepting risky medical treatments and aggression toward those defying mitigation policies. Testing this, we compiled and analyzed all the data on certainty about COVID-19 mitigation policies and willingness to engage in mitigation-related behaviors that our lab collected during the pandemic (6 samples, 20 behaviors, Ns up to 1496). External ratings of the behaviors' extremity moderated certainty-willingness associations: whereas greater certainty was associated with increased willingness to engage in moderate behaviors (the typical result), lower certainty was associated with increased willingness to engage in extreme behaviors, especially among those worried about becoming ill.     

Strategic differentiation–integration effort amongst the 47 prefectures of Japan

The strategic differentiation–integration effort (SD–IE) hypothesis holds that high-K (slow life history) individuals and populations are specialists with respect to domains of behavior and personality, and that the converse is true for low-K populations. Here, we examine SD–IE at the national level, amongst the 47 prefectures of Japan. Aggregate data on height, IQ, divorce, homicide rates, skin reflectance, fertility rates, income and infant mortality were used as life history indicators. Principal Axis Factor analysis revealed the presence of a K super-factor on which the first five of these loaded preferentially. A second factor loaded highly on income and fertility and a third on infant mortality. As Japan is among the highest-K countries, the extraction of three factors indicates strong underlying SD–IE. Amongst the five K super-factor variables, SD–IE confirmatory effects were recovered on all variables except IQ. The effect magnitudes were positively mediated by the K super-factor saturation of the indicators. We conclude that SD–IE appears to be highly general across different populations and measures of life-history traits. Finally, we discuss how the second and third factors appear to conform to recent social phenomena specific to the Japanese culture, namely increasing behavioral asexuality and high-quality universal health coverage.     

Why is support for Jamesian actual–ideal discrepancy model so elusive? A latent-variable approach

We investigate the Actual–Ideal Discrepancy (AID) model of self-esteem determination dating back to James (1890/1963). Although intuitively appealing, this model received weak support from rigorous empirical research. We propose a multiple-item latent difference approach to AID as applied to a range of self-concept domains and sub-domains in young adolescents from two different countries (UK: N = 402; Italy: N = 250). The effects of the AID remained elusive for most domains and sub-domains; indeed, the effects of the specific AIDs were generally trivial and only appearance-AID became significant in the combined sample. Also AIDs did not substantially explain the more general self-concepts beyond what was explained by the actual domains. Even if they had been significant, AID effects would have been, at best, trivially small and detectable only using appropriate latent-variable methodologies coupled with large sample sizes; thus undermining the psychological meaning of the AID model.     

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.     

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.