Working memory development from early childhood to adolescence using two nationally representative samples

Of popsicles and crackers: when spatio-temporal memory is not integrated into children's decision-making

Prior research has used innovative paradigms to show that some non-human animal species demonstrate behavioural choices (i.e. foraging for a food item at a specific location, and at a time that guarantees it has not yet decayed), reflecting episodic-like or 'WWW' memory (memory for 'what' happened, 'where' and 'when'). These results raised the question of whether similar approaches could be used to examine memory in young children in order to reduce verbal demands. The present research examines the extent to which children's WWW memory aligns with memory-based choices in 3- to 5-year-olds (n = 95; study 1) and in 7- to 11-year-olds and adults (n = 168; study 2). Results indicate that preschoolers' struggle with choice-based tasks probably reflects difficulty integrating their WWW memory with an understanding that certain items decay over time. Moreover, a convergence between verbal recall measures and choice-based measures is observable in 7-year-olds and beyond, reflecting a stronger integration of memory signals, understanding of state transformation, and decision-making. This article is part of the theme issue 'Elements of episodic memory: lessons from 40 years of research'.

Child maltreatment and executive function development throughout adolescence and into young adulthood

Child maltreatment impacts approximately one in seven children in the United States, leading to adverse outcomes throughout life. Adolescence is a time period critical for the development of executive function, but there is little research examining how abuse and neglect may differently affect the developmental trajectories of executive function throughout adolescence and into young adulthood. In the current study, 167 adolescents participated at six time points from ages 14 to 20. At each time point, adolescents completed behavioral tasks measuring the three dimensions of executive function (working memory, inhibitory control, and cognitive flexibility). Neglect and abuse in early life (ages 1-13) were reported at ages 18-19. Unconditional growth curve models revealed age-related improvement in all three executive function dimensions. Conditional growth curve models tested the prospective effects of recalled neglect and abuse on the developmental trajectories of executive function. The results revealed that neglect was associated with developmental changes in working memory abilities, such that greater levels of neglect during ages 1-13 were associated with slower increases in working memory abilities across ages 14-20. These findings highlight the adverse consequences of early neglect experiences shown by delayed working memory development during adolescence into young adulthood.

Association between working memory performance and parent and teacher ratings of working memory in 11-year-old children born preterm

Working memory (WM) difficulties are often observed in children born preterm. We examined whether performance-based measures of WM components are associated with parent- and teacher-rated WM difficulties in the everyday life of children born very preterm and/or at very low birth weight (VPT/VLBW) at 11 years (n = 165). The WM components as defined in the original Baddeley's model - phonological loop (PL), visuospatial sketchpad (VS), and central executive (CE) - were assessed with tasks from the Working Memory Test Battery for Children (WMTB-C) and the Wechsler Intelligence Scale for Children - Fourth edition (WISC-IV). Parents and teachers completed the WM subscale of the Behavioral Rating Inventory for Executive Functions (BRIEF). Measures of WM components were modestly associated with BRIEF scores, explaining 18.9% of the variance in parent-rated and 14.0% of teacher-rated WM difficulties. CE was the component most consistently associated with parent- and teacher-rated everyday WM. To conclude, our results suggest that tasks that utilize CE functions may best reflect WM outside of controlled test settings in the follow-up of VPT/VLBW children. However, performance and rating-scale measures provide unique information and are both needed to comprehensively assess WM skills.

Differential Impact of WM Load on Attention in Young Adults Versus Children and Adolescents

Background: This study aimed to examine how concurrent working memory (WM) loads affect selective attention, and to explore developmental differences between young adults and children/adolescents aged 10 to 14 years. Methods: We employed a modified Stroop task with verbal or spatial WM loads to assess their impact on attention. Results: In adults, we found increased Stroop effects when WM load overlapped with target processing and decreased Stroop effects when WM load overlapped with distractor processing. Conversely, in children/adolescents, WM loads did not significantly impact target or distractor processing, indicating no change in Stroop effects under dual-task conditions. Interestingly, results from the correlational analyses revealed that as participants' ages increase, the interference effect under the WM load that shares resources with distractor processing in the attention task decreases. Conclusions: Our findings suggest that the interaction between attention and WM differs across developmental stages. While adults showed distinctive effects of concurrent WM loads on attention processing depending on the cognitive resources utilized, children/adolescents failed to show the interaction between the two cognitive systems. Furthermore, a significant relationship between age and the effects of WM load on attention was observed, providing insights into the development of the interaction between WM and attention.

Predictors of loneliness among middle childhood and adolescence during the COVID-19 pandemic

Social contexts (e.g., family, friends) are important in predicting and preventing loneliness in middle childhood (MC) and adolescence; however, these social contexts were disrupted during the COVID-19 pandemic. Comparison of social context factors that may differentially contribute to loneliness at each developmental stage (MC vs. adolescence) during the COVID-19 pandemic have been overlooked. This study examined longitudinal predictors of loneliness, including social contexts and COVID-19 impact, within MC (8-12y) and adolescence (13-17y). Parents reported on demographic information, and their children completed surveys on COVID-19 impact, loneliness, and family functioning using the COVID-19 Exposure and Family Impact Survey (CEFIS), the NIH Toolbox Loneliness (Ages 8-17) measure, and the PROMIS Family Relationships Short Form 4a measure, respectively. Regression models examined time one (T1; May-June 2020) predictors of time two (T2; November 2020-January 2021) MC child (n=92, Mage=10.03) and adolescent (n=56, Mage=14.66) loneliness. For the MC child model, significant predictors of higher loneliness included worse family functioning as well as higher COVID-19 impact and lower family income. On the other hand, higher adolescent loneliness was significantly predicted by not having married/partnered parents and was marginally significantly predicted by higher COVID-19 impact. The regression model with the full sample and interaction terms revealed no significant interactions, but that lower family functioning and higher COVID-19 impact were significant predictors of higher loneliness. Lower family income and lower in-person communication were marginally significant predictors of higher loneliness in the combined interaction model. Lastly, further exploratory mediation analyses displayed that family functioning significantly mediated the relationship between COVID-19 impact and T2 loneliness only for MC children and the full sample. Results support future interventions focused on optimizing family functioning to help mitigate MC loneliness in the context of adversity, such as a global pandemic.

Modelling Working Memory Capacity: Is the Magical Number Four, Seven, or Does it Depend on What You Are Counting?

Limited attentional capacity is essential to working memory. How its limit should be assessed is a debated issue. Five experiments compare Cowan's 4-units and Pascual-Leone's 7-units models of limited working memory capacity, with presentation time and attention to operative schemes as potential explanations of this discrepancy. Experiments 1a-1c used the Compound Stimuli Visual Information (CSVI) task, with long versus brief presentation. Capacity was estimated with the Bose-Einstein model, assuming a different number of attending acts in each condition. Participants' k estimates in both conditions were highly correlated and the means were not different, indicating that the same capacity is assessed in both conditions. Experiments 2 and 3 used the 5000-msec CSVI, and the Visual Array Task (VAT) in two conditions (5000- vs. 120-msec presentation). Capacity in the VAT was estimated with Morey's Bayesian method. Participants' k estimates in both VAT conditions were correlated, but the mean was higher with long presentation, suggesting that the long condition benefits from recoding or chunking. The k estimate in the CSVI correlated with the short VAT and (to a lesser degree in Exp.2) with the long VAT. The mean estimate of k in the CSVI was one unit more than in the short VAT. We conclude that the CSVI and the short VAT tap the same capacity, one unit of which in the short VAT is allocated to an operative scheme; we discuss how Cowan's and Pascual-Leone's views on limited capacity can be reconciled.

Though Forced, Still Valid: Examining the Psychometric Performance of Forced-Choice Measurement of Personality in Children and Adolescents

Unveiling the roles personality plays during childhood and adolescence necessitates its accurate measurement, commonly using traditional Likert-type (LK) scales. However, this format is susceptible to various response biases, which can be particularly prevalent in children and adolescents, thus likely undermining measurement accuracy. Forced-choice (FC) scales appear to be a promising alternative because they are largely free from these biases by design. However, some argue that the FC format may not perform satisfactorily in children and adolescents due to its complexity. Little empirical evidence exists regarding the suitability of the FC format for children and adolescents. As such, the current study examined the psychometric performance of an FC measure of the Big Five personality factors in three children and adolescent samples: 5th to 6th graders (N = 428), 7th to 8th graders (N = 449), and 10th to 11th graders (N = 555). Across the three age groups, the FC scale demonstrated a better fit to the Big Five model and better discriminant validity in comparison to the LK counterpart. Personality scores from the FC scale also converged well with those from the LK scale and demonstrated high reliability as well as sizable criterion-related validity. Furthermore, the FC scale had more invariant statements than its LK counterpart across age groups. Overall, we found good evidence showing that FC measurement of personality is suitable for children and adolescents.

Social influences on alcohol outcome expectancy development from childhood to young adulthood: A narrative review

Purpose of Review

Alcohol outcome expectancies emerge in early childhood, develop throughout adolescence, and predict alcohol outcomes well into adulthood. Social factors shape how expectancies are learned in myriad ways, yet such social learning influences seldom are examined in the context of developmental factors. This review summarized literature on the social origins of alcohol expectancies through vicarious (observational) and experiential (direct) alcohol-related learning from childhood to young adulthood within a social learning framework.

Recent Findings

Young children primarily endorse negative expectancies, which decline rapidly with age amidst escalations in positive expectancies across adolescence. Parents and peers can contribute to vicarious learning about alcohol and facilitate experiential learning in different ways and to varying degrees across development. Media and social media, which children are increasingly exposed to as they mature, often depict alcohol-outcome relations that may further contribute to expectancy development in later adolescence and young adulthood.

Summary

Social influences on alcohol expectancy learning are complex and change over time, although this dynamic complexity typically is not depicted in extant literature. Developmentally-informed research capturing co-occurring shifts in social influences and alcohol expectancies is needed.

Relations between Video Game Engagement and Social Development in Children: The Mediating Role of Executive Function and Age-Related Moderation

The global proliferation of video games, particularly among children, has led to growing concerns about the potential impact on children's social development. Executive function is a cognitive ability that plays a crucial role in children's social development, but a child's age constrains its development. To examine the association between video game engagement and children's social development while considering the mediating role of executive function and the moderating role of age, a questionnaire was distributed to a sample of 431 parents. The results revealed a negative relation between video game engagement and social development in children, with executive function found to mediate this relation fully. Additionally, the negative association between video game engagement and executive function became more pronounced as children grew older. In light of these findings, it is advisable to adopt proactive strategies to limit excessive video game use, consider the developmental characteristics of children at different ages, and prioritize the promotion of executive function to facilitate social development among children.

The association between working memory, teacher-student relationship, and academic performance in primary school children

Introduction

Early relationships with teachers play an important role in children's development and significantly influence students' cognitive and academic performance. Studies suggest that working memory (WM) is a strong predictor of academic achievement, especially of reading and arithmetic outcomes. The associations between teacher-student relationship (TSR) quality, children's WM skills and their academic performance have been reported in numerous observational studies. However, the potentially bidirectional and temporal nature of the relationships between these constructs is understudied.

Methods

The purpose of this study was to investigate the relationships between primary school children's WM and TSR by applying a cross-lagged design and measuring these constructs at three time points throughout the academic year. More exploratively, this study investigated how WM and TSR bidirectionally relate to children's academic performance.

Results

The findings of this study revealed a temporal relationship between WM and TSR: between WM-related problems in the classroom at baseline and conflict at 3-month follow-up, and between closeness at 3-month follow-up and WM-related problems in the classroom at 5-month follow-up. Moreover, the findings showed a bidirectional relationship between arithmetic performance and WM-related problematic behaviour.

Discussion

This study highlights that relationships between the teacher and students play an important role in supporting students' cognitive and academic development. Importantly, this study suggests that children with WM problems may benefit from interventions that focus on improving their relationships with teachers. Additionally, the findings propose that interventions targeting WM may also have positive effects on children's academic performance.

Disentangling Processing and Storage Accounts of Working Memory Development in Childhood

Researchers have been asking the question of what drives the development of working memory (WM) during childhood for decades. This question is particularly challenging because so many aspects of cognition develop with age that it is difficult to disentangle them and find out which factors are causal or fundamental. In this review, we first prepare to discuss this issue by inquiring whether increases in storage, processing, or both are the fundamental driving factor(s) of the age-related increase in WM capability in childhood. We contend that by experimentally manipulating either factor and observing changes in the other, it is possible to learn about causal roles in WM development. We discuss research on school-aged children that seems to suggest, by means of such an approach, that the growth of storage is causal for some phases or steps in WM tasks, but that the growth of processing is causal for other steps. In our theoretical proposal, storage capacity of the focus of attention determines earlier steps of information processing by constraining the selective encoding of information into WM, whereas processing dependent on the focus of attention determines later steps, like the detection of patterns that can simplify the effective memory load and adoption of a proactive stance of maintenance in dual-task settings. Future directions for research are discussed.

Developmental cascades and educational attainment

Developmental cascades describe how systems of development interact and influence one another to shape human development across the lifespan. Despite its popularity, developmental cascades are commonly used to understand the developmental course of psychopathology, typically in the context of risk and resilience. Whether this framework can be useful for studying children's educational outcomes remains underexplored. Therefore, in this chapter, we provide an overview of how developmental cascades can be used to study children's academic development, with a particular focus on the biological, cognitive, and contextual pathways to educational attainment. We also provide a summary of contemporary statistical methods and highlight existing data sets that can be used to test developmental cascade models of educational attainment from birth through adulthood. We conclude the chapter by discussing the challenges of this research and explore important future directions of using developmental cascades to understand educational attainment.