Executive functions in early childhood: The role of maternal and paternal parenting practices

We investigated the association between mothers' and fathers' harsh parenting and sensitive parenting practices and child's executive functions (EF) in early childhood in 607 families. We focused on three broad dimensions of child EF: Emergent metacognition, inhibitory self‐control, and flexibility measured with the parent‐reported Behavior Rating Inventory of Executive Function‐Preschool Version. Less sensitive parenting of the mother and harsher parenting of the father were related to lower scores of emergent metacognition and inhibitory self‐control. Parenting was not associated with child flexibility. This study extends previous research on the association between parenting and EF by the focus on the role of the father and demonstrates independent effects of mother and father on child EF.     

The role of inhibitory control in the development of analogical reasoning: From general to specific

This study examined the role of inhibitory control in the development of analogical reasoning using inter-task priming paradigms. In Experiment 1, 25 seven-year-olds, 27 nine-year-olds, and 27 adults completed Stroop tasks, which activated general inhibitory control ability, before analogical reasoning tasks. Children and adults performed faster on analogical reasoning tasks when they were primed by Stroop tasks. This priming effect was found to be stronger in children than in adults. In Experiment 2, 25 seven-year-olds, 28 nine-year-olds, and 28 adults completed relative number matching tasks, a more task-relevant inhibitory control task, before analogical reasoning tasks. The children and adults performed faster on analogical reasoning tasks when primed by relative number matching tasks. The priming effect was greater in seven-year-olds than in nine-year-olds and was greater in nine-year-olds than in adults. Thus, inhibitory control, whether assessed with general or specific tasks, played a priming role in analogical reasoning.     

The distinct contributions of cause–effect order and reasoning type in judgments of causality

ABSTRACT

People generally perceive a stronger link between smoking and cancer than between cancer and smoking. Generally, prior research on asymmetrical causal reasoning has not distinguished predictive (searching for effects) and diagnostic reasoning (searching for causes) from the order in which causes and effects are presented. Across 6 studies (overall N = 627), we show that order and reasoning have an additive influence on the causality perception: causes, spatially or temporally presented before the effect, strengthen the causality attribution associated to predictive (vs. diagnostic) frames. Moreover, we show that order and reasoning frame are bi-directionally related, as the cause-first order triggers predictive reasoning and vice versa, and people mentally maintain the cause-first order when envisaging a causal relation. Besides its methodological contribution to the causal reasoning literature, this research demonstrates the powerful role of word order in causal reasoning. Implications for the role of word order in communication and risk prevention are discussed.     

Estimating Age-Based Developmental Trajectories Using Latent Change Score Models Based on Measurement Occasion

Abstract

Accelerated longitudinal designs (ALDs) are designs in which participants from different cohorts provide repeated measures covering a fraction of the time range of the study. ALDs allow researchers to study developmental processes spanning long periods within a relatively shorter time framework. The common trajectory is studied by aggregating the information provided by the different cohorts. Latent change score (LCS) models provide a powerful analytical framework to analyze data from ALDs. With developmental data, LCS models can be specified using measurement occasion as the time metric. This provides a number of benefits, but has an important limitation: It makes it not possible to characterize the longitudinal changes as a function of a developmental process such as age or biological maturation. To overcome this limitation, we propose an extension of an occasion-based LCS model that includes age differences at the first measurement occasion. We conducted a Monte Carlo study and compared the results of including different transformations of the age variable. Our results indicate that some of the proposed transformations resulted in accurate expectations for the studied process across all the ages in the study, and excellent model fit. We discuss these results and provide the R code for our analysis.