Social Emotional Learning (SEL) programs abound in schools worldwide, adopted in large part on limited and varied evidence that the social/SEL skills acquired in these programs contribute to academic achievement. However, large-scale studies with the most common SEL program in the United States (Second Step®) have yielded no evidence of academic benefits, despite revisions to the Second Step® measure (i.e., DESSA – SSE) to include “skills for learning” (i.e., executive functioning skills). The dearth of academic effects could reflect programmatic or measurement flaws. The purpose of this paper is to explore the latter and unpack the core “inputs” of Second Step® to determine whether the social-emotional or executive functioning components may be differently related to academic achievement. Such questions have important implications for evaluating program theory/logic and for the SEL field more broadly. The current study addresses this broader aim by assessing the longitudinal, bi-directional relationship among Executive Functioning, Prosocial Skills (as a proxy for SEL skills), and academic achievement in Kindergarten and Grade 1 students (N = 3,029) from rural and urban schools (N = 61). Widely utilized curriculum-based measures of reading and math tests were administered directly to students to assess academic achievement, while teachers reported on students’ Prosocial Skills using an established measure. A bi-factorial measure of executive functioning was derived from exploratory and confirmatory factor analyses from teacher-reported rating scale data. Results based on autoregressive cross-lagged panel model using accelerated longitudinal design lend some support for a longitudinal bidirectional relationship between the executive functioning components of shifting and emotional regulation (EF 2) and Prosocial Skills. Furthermore, while results support extant research that the executive functioning components of working memory, planning, and problem solving (EF 1) positively predict academic achievement, the executive functioning components of shifting and emotional regulation (EF 2) and Prosocial Skills are not meaningful nor consistent predictors of academic achievement. Implications and limitations are discussed.

Midlife is a unique period of development during which individuals are simultaneously engaging in multiple roles. Despite this, there is a surprisingly small amount of research on this period of the life course. In order to examine sources of adversity during this period, we analyzed interviews with individuals in midlife about their greatest challenge. The most common themes for types of adversity included relationships, health, and work, reflecting the unique combination of roles in midlife.

Stress in individuals presents in various forms and may accumulate across development to predict maladaptive physical and psychological outcomes, including greater risk for the onset of internalizing symptoms. Early life stress, daily life experiences, and the stress response of the hypothalamic-pituitary-adrenal (HPA) axis have all been examined as potential predictors of the development of psychopathology, but rarely have researchers attempted to understand the covariation or interaction among these stress domains using a longitudinal design when looking at the influence of stress on internalizing psychopathology. Further, most research has examined these processes in adulthood or adolescence with much less attention given to the influence of these dynamic stress pathways in childhood. Guided by the biopsychosocial model of stress, this study explored early life stress, daily life stress, diurnal cortisol (cortisol AM slope), and internalizing symptoms in a racially/ethnically and socioeconomically diverse sample of twins participating in an ongoing longitudinal study (N=970 children; Arizona Twin Project; Lemery-Chalfant et al. 2013). An additive model of stress and a stress sensitization framework model were considered as potential pathways of stress to internalizing symptoms in middle childhood. Based on a thorough review of relevant literature, it was expected that each stress indicator would individually predict internalizing symptoms. It was also predicted that early life stress would moderate the associations between diurnal cortisol and internalizing symptoms, as well as daily life stress and internalizing symptoms. Multilevel modeling analyses showed that early life stress and cortisol AM slope, but not daily life stress, predicted internalizing symptoms. Early life stress did not moderate the associations between daily life stress and internalizing symptoms or cortisol AM slope and internalizing symptoms. Results support independent additive contributions of both physiological stress processes and early life parental stressors in the development of internalizing symptoms in middle childhood. Future investigation is needed to better understand the sensitizing effects of early parental life stress during this developmental stage.

The construct of adult emotional intelligence has gained increasing attention over the last 15 years given its significant socioemotional implications for the ability to label, understand, and regulate emotions. There is a gap, however, in understanding how emotional intelligence develops in children. Parenting is one of the most salient predictors of children’s behavior and the current study investigated its prospective link to children’s emotional intelligence. More preceisely, this study took a differentiated approach to parenting by examining the distinct contributions of maternal sensitivity and emotion socialization to children’s emotional intelligence. In addition, executive function, considered a “conductor” of higher-order skills and a neurocognitive correlate of emotional intelligence, was examined as a possible mechanism by which parenting influences emotional intelligence. Data were collected from 269 Mexican-American mother-child dyads during 2-year (parenting), 4.5-year (executive function), and 6-year (emotional intelligence) laboratory visits. Both parenting variables were assessed by objective observer ratings. Exeutive function and emotional intelligence were examined as latent constructs comprised of relevant parent-reported and objective measures. Due to a lack of adequate fit, the emotional intelligence variable was separated into two distinct latent constructs, emotion knowledge/understanding and emotion dysregulation. Results indicated that neither dimension of parenting was predictive of dimensions of emotional intelligence. On the other hand, children’s executive function was positively related to emotion knowledge. Finally, executive function did not emerge as a mediator of the relation between parenting and dimensions of emotional intelligence. Taken together, these findings highlight the need for a nuanced developmental and bioecological framework in the study of childen’s executive function and emotional intelligence.

Longitudinal recursive partitioning (LRP) is a tree-based method for longitudinal data. It takes a sample of individuals that were each measured repeatedly across time, and it splits them based on a set of covariates such that individuals with similar trajectories become grouped together into nodes. LRP does this by fitting a mixed-effects model to each node every time that it becomes partitioned and extracting the deviance, which is the measure of node purity. LRP is implemented using the classification and regression tree algorithm, which suffers from a variable selection bias and does not guarantee reaching a global optimum. Additionally, fitting mixed-effects models to each potential split only to extract the deviance and discard the rest of the information is a computationally intensive procedure. Therefore, in this dissertation, I address the high computational demand, variable selection bias, and local optimum solution. I propose three approximation methods that reduce the computational demand of LRP, and at the same time, allow for a straightforward extension to recursive partitioning algorithms that do not have a variable selection bias and can reach the global optimum solution. In the three proposed approximations, a mixed-effects model is fit to the full data, and the growth curve coefficients for each individual are extracted. Then, (1) a principal component analysis is fit to the set of coefficients and the principal component score is extracted for each individual, (2) a one-factor model is fit to the coefficients and the factor score is extracted, or (3) the coefficients are summed. The three methods result in each individual having a single score that represents the growth curve trajectory. Therefore, now that the outcome is a single score for each individual, any tree-based method may be used for partitioning the data and group the individuals together. Once the individuals are assigned to their final nodes, a mixed-effects model is fit to each terminal node with the individuals belonging to it.

I conduct a simulation study, where I show that the approximation methods achieve the goals proposed while maintaining a similar level of out-of-sample prediction accuracy as LRP. I then illustrate and compare the methods using an applied data.

Prior research has established associations between sleep duration and body mass index (BMI) scores and risk for obesity in middle childhood, but it is less clear whether other objectively- and subjectively-measured sleep indicators may be associated with BMI scores, weight status (e.g., obesity), and other estimates of weight and body fat such as waist circumference (WC) and percent body fat. Empirical studies have also demonstrated independent associations between broad self-regulation and sleep indicators and BMI scores, but no study to date has tested these factors in a model together and the extent to which associations between normative sleep problems, weight indicators, and effortful control (EC) may be explained by shared genetic or environmental influences. Data from a large longitudinal study of twins was used to test phenotypic associations between sleep problems at eight years and weight indicators at nine years, including whether EC at eight years moderates these associations. Additionally, multiple quantitative behavior genetic models were used to estimate unique and shared genetic and environmental covariances among normative sleep problems, weight indicators, and EC at eight years of age and whether additive genetic influence on weight in middle childhood differs by child weight status group. Phenotypic findings showed that greater sleep duration at eight years predicted greater decreases BMI at nine years of age for children with low levels of EC at eight years. Greater sleep midpoint variability at eight years predicted greater increases in percent body fat from eight to nine years of age for children with low EC at eight years. Behavior genetic findings showed greater environmental influences on parent-reported sleep duration and quality, as well as objective sleep midpoint variability. Similarly, associations between parent-reported sleep duration and sleep midpoint variability and other sleep indicators and EC were primarily accounted for by shared environmental factors. In contrast, there was high additive genetic influence on objective sleep quantity and quality, all weight indicators, and EC. Many of the associations between sleep indicators, sleep and weight indicators, and among weight indicators were entirely accounted for by shared additive genetic factors, suggesting that common, underlying sets of genes explain these relations.

Priced Managed Lanes (MLs) have been increasingly advocated as one of the effective ways to mitigating congestion in recent years. This study explores a new and innovative pricing strategy for MLs called Travel Time Refund (TTR). The proposed TTR provides an additional option to paying drivers that insures their travel time by issuing a refund to the toll cost if they do not reach their destination within specified travel times due to accidents or other unforeseen circumstances. Perceived benefits of TTR include raised public acceptance towards priced MLs, utilization increase of HOV/HOT lanes, overall congestion mitigation, and additional funding for relevant transportation agencies. To gauge travelers’ interests of TTR and to analyse its possible impacts, a stated preference (SP) survey was performed. An exploratory and statistical analysis of the survey responses revealed negative interest towards HOT and TTR option in accordance with common wisdom and previous studies. However, it is found that travelers are less negative about TTR than HOT alone; supporting the idea, that TTR could make HOT facilities more appealing. The impact of travel time reliability and latent variables representing psychological constructs on travelers’ choices in response to this new pricing strategy was also analysed. The results indicate that along with travel time and reliability, the decision maker’s attitudes and the level of comprehension of the concept of HOT and TTR play a significant role in their choice making. While the refund option may be theoretically and analytically feasible, the practical implementation issues cannot be ignored. This study also provides a discussion of the potential implementation considerations that include information provision to connected and non-connected vehicles, distinction between toll-only and refund customers, measurement of actual travel time, refund calculation and processing and safety and human factors issues. As the market availability of Connected and Automated Vehicles (CAVs) is prognosticated by 2020, the potential impact of such technologies on effective demand management, especially on MLs is worth investigating. Simulation analysis was performed to evaluate the system performance of a hypothetical road network at varying market penetration of CAVs. The results indicate that Connected Vehicles (CVs) could potentially encourage and enhance the use of MLs.

Anxiety disorder diagnosis is a risk factor for alcohol use disorders (AUDs), but mechanisms of risk are not well understood. Studies show that anxious individuals receive greater negative reinforcement from alcohol when consumed prior to a stressor, but few studies have examined whether anxious individuals receive greater negative (or positive) reinforcement from alcohol in a general drinking context (i.e., no imminent stressor). Previous studies have also failed to examine possible moderating effects of specific drinking contexts (e.g., drinking in a group or alone). Finally, no studies have investigated mediating variables that might explain the relationship between anxiety and reinforcement from alcohol, such as physiological response to alcohol (e.g., cortisol response). Data for this study were drawn from a large alcohol administration study (N = 447) wherein participants were randomized to receive alcohol (target peak BAC: .08 g%) or placebo in one of four contexts: group simulated bar, solitary simulated bar, group sterile laboratory, solitary sterile laboratory. It was hypothesized that anxiety would be associated with positive subjective response (SR) under alcohol (above and beyond placebo), indicating stronger reinforcement from alcohol. It was also hypothesized that social and physical drinking context would moderate this relationship. Finally, it was hypothesized that anxiety would be associated with a blunted cortisol response to alcohol (compared to placebo) and this blunted cortisol response would be associated with stronger positive SR and weaker negative SR. Results showed that anxiety was not associated with positive SR in the full sample, but drinking context did moderate the anxiety/SR relationship in most cases (e.g., anxiety was significantly associated with positive SR (stimulation) under placebo in solitary contexts only). There was no evidence that cortisol response to alcohol mediated the relationship between anxiety and SR. This study provides evidence that anxious drinkers expect stronger positive reinforcement from alcohol in solitary contexts, which has implications for intervention (e.g., modification of existing interventions like expectancy challenge). Null findings regarding cortisol response suggest alcohol’s effect on cortisol response to stress (rather than cortisol response to alcohol consumption) may be more relevant for SR and drinking behavior among anxious individuals.

Individuals differ in the extent to which they feel connected to their future selves, which predicts time preference (i.e., preference for immediate versus delayed utility), financial decision-making, delinquency, and academic performance. Future self-connectedness may also predict how individuals compare themselves with their past selves, future selves, and other people. Greater connectedness may lead to more self-affirming types of temporal self-comparison, less self-deflating types of temporal self-comparison, and less social comparison. Two studies examined the relation between future self-connectedness and comparison processes, as well as effects on emotion, psychological adjustment, and motivation. In the first study, as expected, future self-connectedness positively predicted self-affirming temporal self-comparison and negatively predicted self-deflating temporal self-comparison and social comparison. In addition, future self-connectedness had beneficial direct and indirect effects on adjustment, emotion regulation, and motivation. Unlike previous research, this study examined all three components of future self-connectedness, as opposed to only one. Exploratory analyses examined the items comprising the similarity-connectedness component and found that the relation of these items to the other variables in the model did not differ, though some of the relations in the model were moderated by college generation status. The second study tested whether increasing future self-connectedness would have similar effects on comparison, adjustment, emotion, and motivation. It implemented a pilot future self-connectedness manipulation, an established identity-stability manipulation, and a control condition. The pilot manipulation and identity-stability manipulation failed to affect future self-connectedness relative to control, and did not affect comparison, motivation, adjustment, or emotion. Future research should ascertain whether there is a causal link between connectedness and social comparison or temporal self-comparison processes. Overall, this research links future self-connectedness to social comparison and temporal self-comparison processes, as well as well-being, emotion, and motivation, which demonstrates the importance of connectedness in new, important areas.

This study examined whether social support available to parents moderated the heritability of parent-reported social approach at 12 months (N = 286 twin pairs, 52.00% female) and social competence at 30 months (N = 259 twin pairs, 53.30% female). Genetic and environmental covariance across age is also reported. Social support consistently moderated genetic influences on children’s social approach and competence, such that heritability was highest when parents reported low social support. Shared environment was not moderated by social support and explained continuity across age. Findings provide further evidence that genetic and environmental influences on development vary across context. When parents are supported, environmental influences on children’s social competence are larger, perhaps because support helps parents provide a broadly promotive environment.