Catechol- O -methyltransferase Val158met polymorphism interacts with early experience to predict executive functions in early childhood: COMT and Executive Functions in Childhood

Numerous studies demonstrate that the Methionine variant of the catechol-O-methyltransferase Val158Met polymorphism, which confers less efficient catabolism of catecholamines, is associated with increased focal activation of prefrontal cortex (PFC) and higher levels of executive function abilities. By and large, however, studies of COMT Val158Met have been conducted with adult samples and do not account for the context in which development is occurring. Effects of early adversity on stress response physiology and the inverted U shape relating catecholamine levels to neural activity in PFC indicate the need to take into account early experience when considering relations between genes such as COMT and executive cognitive ability. Consistent with this neurobiology, we find in a prospective longitudinal sample of children and families (N=1292) that COMT Val158Met interacts with early experience to predict executive function abilities in early childhood. Specifically, the Valine variant of the COMT Val158Met polymorphism, which confers more rather than less efficient catabolism of catecholamines is associated with higher executive function abilities at child ages 48 and 60 months and with faster growth of executive function for children experiencing early adversity, as indexed by cumulative risk factors in the home at child ages 7, 15, 24, and 36 months. Findings indicate the importance of the early environment for the relation between catecholamine genes and developmental outcomes and demonstrate that the genetic moderation of environmental risk is detectable in early childhood

Speed accuracy tradeoff? Not so fast: Marginal changes in speed have inconsistent relationships with accuracy in real-world settings

The speed-accuracy tradeoff suggests that responses generated under time constraints will be less accurate. While it has undergone extensive experimental verification, it is less clear whether it applies in settings where time pressures are not being experimentally manipulated (but where respondents still vary in their utilization of time). Using a large corpus of 29 response time datasets containing data from cognitive tasks without experimental manipulation of time pressure, we probe whether the speed-accuracy tradeoff holds across a variety of tasks using idiosyncratic within-person variation in speed. We find inconsistent relationships between marginal increases in time spent responding and accuracy; in many cases, marginal increases in time do not predict increases in accuracy. However, we do observe time pressures (in the form of time limits) to consistently reduce accuracy and for rapid responses to typically show the anticipated relationship (i.e., they are more accurate if they are slower). We also consider analysis of items and individuals. We find substantial variation in the item-level associations between speed and accuracy. On the person side, respondents who exhibit more within-person variation in response speed are typically of lower ability. Finally, we consider the predictive power of a person's response time in predicting out-of-sample responses; it is generally a weak predictor. Collectively, our findings suggest the speed-accuracy tradeoff may be limited as a conceptual model in its application in non-experimental settings and, more generally, offer empirical results and an analytic approach that will be useful as more response time data is collected

A many-analysts approach to the relation between religiosity and well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N=10,535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β=0.120). For the second research question, this was the case for 65% of the teams (median reported β=0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

A Many-analysts Approach to the Relation Between Religiosity and Well-being

The relation between religiosity and well-being is one of the most researched topics in the psychology of religion, yet the directionality and robustness of the effect remains debated. Here, we adopted a many-analysts approach to assess the robustness of this relation based on a new cross-cultural dataset (N = 10, 535 participants from 24 countries). We recruited 120 analysis teams to investigate (1) whether religious people self-report higher well-being, and (2) whether the relation between religiosity and self-reported well-being depends on perceived cultural norms of religion (i.e., whether it is considered normal and desirable to be religious in a given country). In a two-stage procedure, the teams first created an analysis plan and then executed their planned analysis on the data. For the first research question, all but 3 teams reported positive effect sizes with credible/confidence intervals excluding zero (median reported β = 0.120). For the second research question, this was the case for 65% of the teams (median reported β = 0.039). While most teams applied (multilevel) linear regression models, there was considerable variability in the choice of items used to construct the independent variables, the dependent variable, and the included covariates

Moving beyond executive functions: Challenge preference as a predictor of academic achievement in elementary school

Intrinsic motivation and executive functions (EFs) have been independently studied as predictors of academic achievement in elementary school. The goal of this investigation was to understand how students’ challenge preference (CP), an aspect of intrinsic motivation, is related to academic achievement while accounting for EFs as a confounding variable. Using data from a longitudinal study of 569 third-, fourth-, and fifth-graders (50% female), we tested students’ self-reported CP as a predictor of mathematics and English language arts (ELA) achievement in multilevel models that controlled for school fixed effects and student demographic characteristics. CP was positively associated with mathematics and ELA over and above the set of covariates and EFs. While also controlling for prior achievement, CP continued to explain a small amount of unique variance in mathematics, but not in ELA. These results underscore the importance of including measures of students’ intrinsic motivation, in addition to EFs, to obtain a comprehensive understanding of academic success

Peers Matter: Links Between Classmates’ and Individual Students’ Executive Functions in Elementary School

Students’ executive functions (EFs) are linked to school success. Although school-age children spend much of their time interacting with peers, few studies have explored how children’s classmates may promote EF development in elementary school. In this study, we test whether mean levels and variability in classmates’ EF skills are associated with growth in individual students’ accuracy and speed on EF tasks among third, fourth, and fifth graders (N = 806). We find that classmates’ speed, but not accuracy, on EF tasks is linked to significant improvements in individual students’ EFs over the school year. Classmates’ average EFs, as indexed by faster accurate responses on EF tasks, are associated with improvements in individual students’ speed on EF tasks. These results were robust to the inclusion of individual students’ general processing speed. In contrast, variability in classmates’ accuracy and speed on EF tasks was not associated with individual students’ EF growth. Our results highlight the role of peers and the school context for EF development in middle childhood

Moving beyond executive functions: Challenge preference as a predictor of academic achievement in elementary school

Intrinsic motivation and executive functions (EFs) have been independently studied as predictors of academic achievement in elementary school. The goal of this investigation was to understand how students’ challenge preference (CP), an aspect of intrinsic motivation, is related to academic achievement while accounting for EFs as a confounding variable. Using data from a longitudinal study of 569 third-, fourth-, and fifth-graders (50% female), we tested students’ self-reported CP as a predictor of mathematics and English language arts (ELA) achievement in multilevel models that controlled for school fixed effects and student demographic characteristics. CP was positively associated with mathematics and ELA over and above the set of covariates and EFs. While also controlling for prior achievement, CP continued to explain a small amount of unique variance in mathematics, but not in ELA. These results underscore the importance of including measures of students’ intrinsic motivation, in addition to EFs, to obtain a comprehensive understanding of academic success

Self-regulation, effortful control, and their socioemotional correlates

International audienc