Information matrix estimation procedures for cognitive diagnostic models

Two new methods to estimate the asymptotic covariance matrix for marginal maximum likelihood estimation of cognitive diagnosis models (CDMs), the inverse of the observed information matrix and the sandwich-type estimator, are introduced. Unlike several previous covariance matrix estimators, the new methods take into account both the item and structural parameters. The relationships between the observed information matrix, the empirical cross-product information matrix, the sandwich-type covariance matrix and the two approaches proposed by de la Torre (2009, J. Educ. Behav. Stat., 34, 115) are discussed. Simulation results show that, for a correctly specified CDM and Q-matrix or with a slightly misspecified probability model, the observed information matrix and the sandwich-type covariance matrix exhibit good performance with respect to providing consistent standard errors of item parameter estimates. However, with substantial model misspecification only the sandwich-type covariance matrix exhibits robust performance.     

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.     

Muscle Synergies for Turning During Human Walking

Muscle synergy describes reduced set of functional muscle co-activation patterns. We aimed to identify muscle synergies of turning compared with straight walking. Twelve healthy adults (men: 7, women: 5) performed straight walking (SW), left turning (LT), and right turning (RT) at self-selected speeds. By using non-negative matrix factorization (NMF), we extracted muscle synergies from sixteen electromyography (EMG) signals on the right side and assigned similar muscle synergies among SW, LT, and RT into the same cluster by combining k-means clustering and intraclass correlation coefficient (ICC) analysis. We obtained task-specific clusters of muscle synergies extracted from SW, LT, or RT condition and identified the clusters that share synergies among the conditions. The central nervous system produces specific synergies involving turning behaviors and fundamental synergies for walking.     

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.     

Building up resources in the relationship between work–family conflict and burnout among firefighters: moderators of guanxi and emotion regulation strategies

This study investigated the moderating effects of supervisor–subordinate “guanxi” alongside relevant emotional regulation strategies, including cognitive reappraisal and expressive suppression, undertaken by 402 firefighters experiencing burnout caused by work–family conflict, as revealed through the application and analysis of the job demands–resources model. According to the regression model for the moderating effects, high levels of supervisor–subordinate guanxi may improve the relationship between work–family conflict and burnout, while frequent suppression of expressivity may enhance this relationship. Moreover, when supervisor–subordinate guanxi is high, cognitive reappraisal may effectively mitigate the relationship between work–family conflict and burnout. To this end, both guanxi and cognitive reappraisal are crucial for supporting emotional regulation in the workplaces of ethnic Chinese societies.     

Same face,same place,different memory: manner of presentation modulates the associative deficit in older adults

One of the more severe and consequential memory impairments experienced by older adults is the loss of the ability to form and remember associations. Although the associative deficit is often assumed to be unitary, memory episodes may contain different types of associations (e.g., item–item, item–context). Research in younger adults suggests that these different association types may involve different neural mechanisms. This raises the possibility that different association types are not equally affected by aging. In order to investigate this, the current study directly compared memory across item–item and item–context associations in younger and older adults by manipulating the manner of presentation of the associations. Results indicate that the associative deficit in aging is not uniform and that aging has a greater impact on item–context compared to item–item associations. The results have implications for theories of associative memory, age-related cognitive decline, and the functional organization of the medial temporal lobe in aging.