Search

In the current paper, we review existing tools for solving variable selection problems in psychology. Modern regularization methods such as lasso regression have recently been introduced in the field and are incorporated into popular methodologies, such as network analysis. However, several recognized limitations of lasso regularization may limit its suitability for psychological research. In this paper, we compare the properties of lasso approaches used for variable selection to Bayesian variable selection approaches. In particular we highlight advantages of stochastic search variable selection (SSVS), that make it well suited for variable selection applications in psychology. We demonstrate these advantages and contrast SSVS with lasso type penalization in an application to predict depression symptoms in a large sample and an accompanying simulation study. We investigate the effects of sample size, effect size, and patterns of correlation among predictors on rates of correct and false inclusion and bias in the estimates. SSVS as investigated here is reasonably computationally efficient and powerful to detect moderate effects in small sample sizes (or small effects in moderate sample sizes), while protecting against false inclusion and without over-penalizing true effects. We recommend SSVS as a flexible framework that is well-suited for the field, discuss limitations, and suggest directions for future development.

BackgroundSocial and language abilities are closely intertwined during early typical development. In autism spectrum disorder (ASD), however, deficits in social and language development are early-age core symptoms. We previously reported that superior temporal cortex, a well-established social and language region, shows reduced activation to social affective speech in ASD toddlers; however, the atypical cortical connectivity that accompanies this deviance remains unknown.MethodsWe collected clinical, eye tracking, and resting-state fMRI data from 86 ASD and non-ASD subjects (mean age 2.3 ± 0.7 years). Functional connectivity of left and right superior temporal regions with other cortical regions and correlations between this connectivity and each child's social and language abilities were examined.ResultsWhile there was no group difference in functional connectivity, the connectivity between superior temporal cortex and frontal and parietal regions was significantly correlated with language, communication, and social abilities in non-ASD subjects, but these effects were absent in ASD subjects. Instead, ASD subjects, regardless of different social or nonsocial visual preferences, showed atypical correlations between temporal-visual region connectivity and communication ability (r(49) = 0.55, p

Autism spectrum disorder (ASD) is associated with marked heterogeneity in executive function (EF) abilities. EF components including inhibition and shifting are related to ASD core symptoms such as perspective taking, social communication, and repetitive behavior. Recent research suggests that multilingualism may have a beneficial impact on EF abilities, especially in children with ASD. However, there remains a lack of comprehensive understanding regarding the relationships between multilingualism, EF, and core symptoms in children with ASD. Here, we examined these associations in 7-12-year-old children with and without ASD (N = 116; 53 ASD, Mean age = 9.94 years). Results suggest that multilingual children have stronger parent-reported inhibition, shifting, and perspective-taking skills than monolingual children. Furthermore, we found a significant interaction between diagnosis and multilingual status on inhibition, such that the effects of multilingualism were stronger for children with ASD than typically developing (TD) children. Finally, we found indirect effects of multilingualism on perspective taking, social communication, and repetitive behaviors mediated by EF skills. These results demonstrate the supportive influences multilingual experience might have on bolstering EF and reducing ASD-related symptoms., (© 2024 The Author(s). Autism Research published by International Society for Autism Research and Wiley Periodicals LLC.)