The current dissertation focused on the risks and rewards of the digital context in adolescent romantic relationships. Adolescent romantic relationships are a pivotal developmental milestone and a foundation for future relationship functioning. Thus, it is vital to understand how adolescents function within their romantic relationships to identify potential intervention points that can improve adolescents’ relationship skills. Adolescents frequently utilize technology within their relationships, with positive and negative implications. Thus, the digital context is an important area of research for adolescent romantic relationship functioning. The neo-ecological theory and the transformation framework help contextualize the digital context's impact on adolescent romantic relationships. The first study utilized two experiments to test the effects of an adolescent’s romantic partner hypothetically ”liking” a digital relationship threat’s Instagram post on their feelings of jealousy and digital dating abuse behaviors. Adolescents reported greater feelings of jealousy and engagement in digital dating abuse behaviors when their romantic partner “liked” a post from a different-gendered individual, and effects were exacerbated when that individual was high on attractiveness. While the digital context may serve as a risk context for adolescent relationships, the risk conferred may depend on the couple's functioning. Thus, the second study examined how sexting among adolescent couples was associated with their daily affect. Results demonstrate that while sexting may boost an adolescent’s affect on the same day, it is related to worse affect as the days pass. Lastly, the digital context can also be an external stressor that impacts the relationship. Thus, the third study examined how daily digital stress exposure during the COVID-19 pandemic is associated with late adolescent romantic couples’ substance use and mental health. This study examined actor and partner effects to assess the dyadic nature of stress contagion between romantic partners. This dissertation advances the current literature on associations between the digital context, adolescent development, and adolescent romantic relationship functioning.

The proliferation of intensive longitudinal datasets has necessitated the development of analytical techniques that are flexible and accessible to researchers collecting dyadic or individual data. Dynamic structural equation models (DSEMs), as implemented in Mplus, provides the flexibility researchers require by combining components from multilevel modeling, structural equation modeling, and time series analyses. This dissertation project presents a simulation study that evaluates the performance of categorical DSEM using a probit link function across different numbers of clusters (N = 50 or 200), timepoints (T = 14, 28, or 56), categories on the outcome (2, 3, or 5), and distribution of responses on the outcome (symmetric/approximate normal, skewed, or uniform) for both univariate and multivariate models (representing individual data and dyadic longitudinal Actor-Partner Interdependence Model data, respectively). The 3- and 5-category model conditions were also evaluated as continuous DSEMs across the same cluster, timepoint, and distribution conditions to evaluate to what extent ignoring the categorical nature of the outcome impacted model performance. Results indicated that previously-suggested minimums for number of clusters and timepoints from studies evaluating continuous DSEM performance with continuous outcomes are not large enough to produce unbiased and adequately powered models in categorical DSEM. The distribution of responses on the outcome did not have a noticeable impact in model performance for categorical DSEM, but did affect model performance when fitting a continuous DSEM to the same datasets. Ignoring the categorical nature of the outcome lead to underestimated effects across parameters and conditions, and showed large Type-I error rates in the N = 200 cluster conditions.

School belonging is critical to well-being among youth. However, scholarship on school belonging among Black youth has largely used deficit perspectives. Furthermore, there is a lack of social, historical, and culturally informed perspectives to examine factors that may promote or prohibit school belonging. Currently, there is limited research about how factors across socioecological levels impact school belonging among Black youth, and how this relates to behavioral health. In this mixed-method dissertation, I used phenomenological perspectives (i.e., teachers, Black youth) to examine factors that promote school belonging while accounting for manifestations of racism, then link this process to marijuana use. In Study 1, I used interviews with racially-ethnically diverse teachers (n=15) in Arizona to examine their perspective on factors which promote or prohibit a sense of school belonging. Additionally, I used Brown’s (2007) framework to identify culturally responsive strategies for promoting school belonging. Findings demonstrated that cultural humility, human connections, diverse literature, culturally aware assignments, and extracurricular involvement are critical factors that promote school belonging, while racism evidenced by racial discrimination, colorblindness, discipline disparities, and systemic racism created significant barriers to belonging. The culturally responsive strategies demonstrate unified efforts school systems use to support school belonging among Black youth. In Study 2, I employed cross-classified hierarchical linear modeling with data from the Arizona Youth Survey and structural indicators of schools and neighborhoods to examine the association between school belonging and lifetime time marijuana use among Black youth (n=6120). Findings demonstrated that school belonging was associated with decreased marijuana use, which significantly varied across schools and neighborhoods. Specifically, Black youth that attended schools with higher percentages of certified teachers and resided in majority White neighborhoods reported greater decrease in the association between school belonging and marijuana use, while higher neighborhood educational attainment was related to increase in the association between school belonging and marijuana use. Integration of the findings from these two studies demonstrate promotive factors for Black youths’ sense of school belonging, while acknowledging how racism is embedded within their daily environments. Structural changes addressing racism and supporting Black youth are needed across contexts.

Emerging adulthood (18 – 28 years) is a distinctive period in the life course whereyoung people are involved in the process of transitioning to adult roles in their careers and social relationships. Due to the ongoing COVID- 19 pandemic, economic instability, and other social factors, emerging adults in the United States are experiencing greater stress and challenges than ever before. In this climate of high stress, personal characteristics such as an individual’s propensity to endorse sociotropy (the tendency to focus primarily on relationships) or autonomy (the tendency to focus primarily on the self) may be associated with experiences of stress and resulting depressive feelings based on the diathesis-stress model of depression proposed by Beck in 1967. However, perceived partner’s dyadic coping may buffer against the positive association between stress and depression. Despite this plausible link, not much is known about how personal characteristics (here sociotropy and autonomy) of emerging adults may influence their perceptions of their own as well as partner’s dyadic coping. To address this gap, the present study used survey data from 269 emerging adults to examine whether personal characteristics such as sociotropy and autonomy are associated with their perceptions of dyadic coping and to examine if these associations are moderated by perceived relationship commitment, given commitment has been found to increase relationship maintenance behaviors. Results found that both sociotropy and autonomy were associated positively with positive dyadic coping by self and negatively with negative dyadic coping by partner. Relationship commitment partially moderated these associations. Results of this study have the ability to inform therapy for emerging adults in romantic relationships who may be experiencing higher stress, symptoms of depression, and those who may be experiencing difficulties in their relationships. Limitations and future directions for research are discussed

Obesity is associated with many well-established health risks as well as high annual public health costs. Intervening in the trajectory of obesity becomes significantly more difficult after a child has reached obesity. Therefore, it is crucial to understand the processes that influence weight early in life. Parents serve as one of the main influences on child health, have a significant impact on the weight of their offspring, and are often incorporated into childhood obesity prevention programs. However, the mutual influence that parents and children have on each other is not accounted for. Using an Actor-Partner Interdependence model, the current study 1) examined the effect of children’s and mother’s temperament (e.g., negative affectivity, effortful control, and impulsivity) on their own weight as well as the weight of the other dyad member, 2) explored the effect of the interaction between mother and child temperament on both members’ weight, 3) assessed the effect of mother’s approach to food on mother and child weight, and 4) investigated how temperament might moderate the relationships between mother’s approach to food and mother and child weight. The sample consisted of 220 mother-child dyads. Children ranged from 4 to 6 years of age. Mothers completed self-report questionnaires on their own temperament and approach to food as well as their child’s temperament. Weight measures were assessed in the laboratory for both mother and child. Results indicated children’s impulsivity was related to their mother’s higher weight. The interaction between mother and child temperament was not significantly associated with weight. However, the interaction between child impulsivity and mother’s approach to food was significant; the effect of the mother’s approach to food on her own weight depended on their child’s impulsivity behaviors. Specifically, mothers’ approach to food on her own weight was nonsignificant when her child showed higher levels of impulsivity. The association of mother’s approach to food with her own weight was stronger when her child exhibited average to low impulsivity levels. This investigation of the influence of mother and child on each other’s weight is well-placed for translation into later obesity preventative and intervention efforts for family systems.

Neighborhoods are important aspects of the adolescent and family ecology. Cultural developmental perspectives posit that neighborhood environments contain both promoting and inhibiting characteristics for ethnic-racial minoritized populations (García Coll et al., 1996). Historically, neighborhood researchers have approached Latino neighborhoods from a deficit perspective. Thus, there is limited research about how Latino neighborhoods support Latino youth development and family processes. In my dissertation, I examine both the promoting and inhibiting aspects of Latino identified neighborhoods for adolescent development.

In study 1, I prospectively examined a model in which Mexican-origin parents’ perceptions of social and cultural resources in neighborhoods may support parents to engage in higher levels of cultural socialization and, in turn, promote adolescents’ ethnic-racial identity (ERI). Findings suggest neighborhood social and cultural cohesion in late childhood promoted middle adolescents’ ERI affirmation via intermediate increases in maternal cultural socialization. Similar patterns were observed for ERI resolution, but only for adolescents whose mothers were born in the United States. Findings have critical implications for how neighborhoods support parents’ cultural socialization practices and adolescents’ ERI.

In study 2, I used a convergent mixed methods research design to compare and contrast researchers’ neighborhood assessments collected using systematic social observations (e.g., physical disorder, sociocultural symbols) with adolescents’ qualitative neighborhood assessments collected by semi-structured interviews with Mexican-origin adolescents. Using quantitative methods, I found that researchers observed varying degrees of physical disorder, physical decay, street safety, and sociocultural symbols across adolescents’ neighborhood environments. Using qualitative methods, I found that adolescents observed these same neighborhood features about half the time, but also that they often layered additional meaning on top of distinct neighborhood features. Using mixed methods I found that, in the context of high spatial concordance, there was a high degree of overlap between researchers and adolescents in terms of agreement on the presence of physical disorder, physical decay, street safety, and sociocultural symbols. Lastly, adolescents often expanded upon these neighborhood environmental features, especially with references to positive and negative affect and resources. Overall, findings from study 2 underscore the importance using mixed methods to address the shared and unique aspects of researchers’ objectivity and adolescents’ phenomenology.

Alcohol use among romantic partners is known to be related to a variety of detrimental outcomes, such as decreased relationship satisfaction and increases in conflict. However, discrepant drinking among partners may be a stronger predictor of relationship outcomes over and above the amount of alcohol use. Currently, little is known about potential differences in the within- and between-person effects and discrepancy’s effect on mood, particularly among community samples. The current study investigated the effects of both individual and partner alcohol use, as well as discrepant drinking, on mood and relationship functioning. Data were obtained from 280 heterosexual romantic couples using a measurement burst daily dairy design over the course of one year. Actor Partner Interdependence Model and Dyadic Score Model analyses were used to investigate the effect of alcohol use and discrepant drinking on mood and relationship functioning, both at the within- and between- person levels. Specifically, analyses investigated the effects of no drinking versus moderate drinking, no drinking versus binge drinking, and moderate drinking versus binge drinking. Results revealed that while binge drinking may be related to positive outcomes proximally, the cumulative effects at the between-person level are detrimental. Moreover, discrepant drinking appears most detrimental when women outdrink their partners. These findings have important implications for refining and improving upon couples-based interventions aimed at alcohol-use problems among non-clinical couples.

Personality is a relevant and applicable research topic now more than ever; because of the Internet, self-report measures of personality are becoming increasingly accessible. Although now widely available for personal application, personality inventories are not often examined in the context of their associations with other factors. Specifically, there exists a gap in the research on personality and its associations with philosophical belief. Based on a sample of 88 individuals, correlations between the Big Five and Philosophy Dichotomy Test were examined in order to investigate the associations between personality traits and philosophical belief. Agreeableness was found to be negatively associated with the sensuality, values, metaphysical, and societal axes, corresponding to higher levels of hedonism, rationalism, materialism, and egoism. These findings suggest that personality as measured by the Big Five and philosophical belief are somewhat associated. Limitations and future directions are presented.

Rapidly growing research on mothers’ perinatal depression, has demonstrated significant links among mothers’ depressive symptoms during pregnancy and the first year postpartum, their parenting, and multiple aspects of children’s development. This prospective longitudinal study contributes to research on mothers’ perinatal depression by examining the mechanisms by which maternal perinatal depression is associated with children’s adjustment early in development in a sample of 204 Mexican-origin adolescent mothers (Mage at Wave 1 = 16.80, SD = 1.0) and their children (58% boys). I expected that adolescent mothers’ negative parenting behaviors would mediate the associations between mothers’ perinatal depressive symptoms and three child outcomes: internalizing symptoms, externalizing behaviors, and cognitive ability. I further hypothesized that mothers’ perceived social support from their family would modify the extent to which mothers’ perinatal depressive symptoms negatively impact their parenting behaviors and their children’s developmental outcomes. Mothers reported on their own depressive symptoms, their perceived social support from their family and their children’s internalizing and externalizing problems; negative parenting was assessed using observational methods; and children’s cognitive ability was assessed using standardized developmental assessments. In this sample, adolescent mothers’ negative parenting behaviors did not significantly mediate the relations between mothers’ perinatal depression and children’s developmental outcomes. Further, perceived social support did not significantly buffer the effects of mothers’ perinatal depression on mothers’ negative parenting or children’s developmental outcomes. However, in line with hypotheses, results indicated that mothers’ prenatal depression had a wider impact on children’s adjustment outcomes than mothers’ postpartum depression, which appeared more specific to children’s internalizing problems. Discussion focuses on implications for intervention addressing adolescent mothers’ perinatal depression, as well as the need to continue to explore protective factors that have the potential to disrupt the negative intergenerational transmission of risks.

Dynamic Bayesian networks (DBNs; Reye, 2004) are a promising tool for modeling student proficiency under rich measurement scenarios (Reichenberg, in press). These scenarios often present assessment conditions far more complex than what is seen with more traditional assessments and require assessment arguments and psychometric models capable of integrating those complexities. Unfortunately, DBNs remain understudied and their psychometric properties relatively unknown. If the apparent strengths of DBNs are to be leveraged, then the body of literature surrounding their properties and use needs to be expanded upon. To this end, the current work aimed at exploring the properties of DBNs under a variety of realistic psychometric conditions. A two-phase Monte Carlo simulation study was conducted in order to evaluate parameter recovery for DBNs using maximum likelihood estimation with the Netica software package. Phase 1 included a limited number of conditions and was exploratory in nature while Phase 2 included a larger and more targeted complement of conditions. Manipulated factors included sample size, measurement quality, test length, the number of measurement occasions. Results suggested that measurement quality has the most prominent impact on estimation quality with more distinct performance categories yielding better estimation. While increasing sample size tended to improve estimation, there were a limited number of conditions under which greater samples size led to more estimation bias. An exploration of this phenomenon is included. From a practical perspective, parameter recovery appeared to be sufficient with samples as low as N = 400 as long as measurement quality was not poor and at least three items were present at each measurement occasion. Tests consisting of only a single item required exceptional measurement quality in order to adequately recover model parameters. The study was somewhat limited due to potentially software-specific issues as well as a non-comprehensive collection of experimental conditions. Further research should replicate and, potentially expand the current work using other software packages including exploring alternate estimation methods (e.g., Markov chain Monte Carlo).