The purpose of this single case design study was to examine the efficacy of a graphic organizer for improving the reading comprehension of middle school Spanish-English bilingual middle school students with learning disabilities. Students included two females and one male student. Using a multiple baseline across participants design, students were taught to create a funnel map graphic organizer for 10 descriptive text passages. Students’ performance was assessed on their ability to correctly create the funnel map (criterion variable) and to comprehend the expository passages during baseline, intervention, and maintenance phases. Each participant learned to create an accurate funnel map for descriptive texts within four sessions. Reading comprehension scores began to increase within three intervention sessions for each participant. Results showed the positive effect of using the funnel map to improve reading comprehension of descriptive texts. Individual TAU effect sizes (.81 to .92) and overall TAU-U effect sizes (.86) and a Between Cases Standardized Mean Difference (BC-SMD) of 1.87 showed the intervention to be highly effective. Based on the effect sizes, the funnel map was effective for improving the reading comprehension of middle school Spanish-English bilingual students with learning disabilities.

The past two decades have been marked by disruptions in the way transportation is provided to society. Examples are carsharing, ridehailing services, and electric scooters. Understanding how sensitive travel behavior is during transportation disruptions is a key part of planning for the future of transportation. While the effects of people's attitudes and perceptions on travel behavior and choices have been studied in the past, their role in response to disruptions remains under explored. This dissertation explores the effect of attitudes on travel behavior and perceptions for two distinct disruptions: the advent of autonomous vehicles (AVs) and the COVID-19 pandemic. Before diving into such elaborate relationships, it is important to understand how attitudinal data is collected and measured. Thus, a study of the effects of different survey methods on the collection of attitudes towards transportation disruptions is performed. This dissertation finds that having a favorable perception of AVs is the most important factor in defining one’s willingness to use them. More importantly, those who only heard about AVs without knowing much about them were actually less likely to have a favorable perception when compared to those who never heard of AVs prior to the survey, reinforcing the need for thoughtful education and awareness initiatives. Additionally, gender also played an important role in expectations about the AV Future: not only are women less interested in using AVs as a pooled ride service, but also that the effect of attitudes on defining that choice was different for men and women. Regarding the COVID-19 pandemic, two different attitudes towards COVID were identified: concern about the effects of the COVID-19 response, and concern about the health effects of the coronavirus. Both shaped the ways people traveled, and how often they did so. These findings reinforce the need for the broad collection of attitudinal data and the incorporation of such parameters on future travel forecasting.

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.

Online learning in higher education has been increasing over the last two decades (NCES, 2016). Previous research has highlighted the importance of student engagement for academic achievement and performance (Fuller, Wilson, & Tobin, 2011; Northey et al., 2018). The current study aims to further understand students’ perceptions of peer interactions, assess the application of the Theory of Involvement in online learning environments, and identify factors of student engagement. Data were collected from 1,514 undergraduate students enrolled in online courses at Arizona State University (Mage = 25.96 years old; SD = 7.64; 1,259 female, 232 male, 12 non-binary, and 1 gender fluid). The results of this dissertation study indicate that the vast majority of students (94% of the sample) want opportunities for peer interaction in their online courses. Confirmatory Factor Analyses were conducted to validate three of the primary measures and these measurement models were used in subsequent analyses. Structural Equation Modeling (SEM) revealed that students who demonstrated high levels of Academic, Online Community, Life Application, and Social Engagement were more likely to perform well on measures of Academic Performance (i.e., doing well on quizzes or tests, earning higher letter grades). Additional SEM analyses indicated that sense of a community was related to all four aspects of student engagements. There was evidence that certain pedagogical factors were also associated with higher rates of student engagement. For example, students who reported high levels for Instructional Design (e.g., felt the course objectives were clear) were more likely to be academically engaged (i.e., demonstrated strong study habits). Lastly, while there were no significant differences in student engagement by gender, ethnicity, or living arrangements, students who valued peer interaction were more likely to report higher levels of Online Student Engagement. The findings of this research emphasize the desire online students have to interact with their peers, demonstrates the importance of engaging online students, and serves as a guide for educators in creating online courses that foster student engagement.

Sibling relationships are important units of socialization during adolescence. These involuntary relationships consist of positive and negative relationship qualities (Buist & Vermande, 2014; Deater-Deckard et al., 2002; Updegraff et al., 2005a), and some dimensions of these relationships are less understood than other dimensions. One dimension in need of attention is that of sibling relational victimization, which includes behaviors aimed at harming one’s sibling relationship during a period in which interpersonal relationships are developmentally salient (Collins & Steinberg, 2006; Crick, 1995; Crick & Grotpeter, 1995). In my dissertation, I examine the associations between family and friendship dynamics and sibling relational victimization longitudinally during adolescence. In study 1, I examined the developmental change in sibling relational victimization experiences during adolescence, and tested the associations between parent-youth and sibling conflict and intimacy and sibling relational victimization longitudinally. Sibling structural characteristics were explored as moderators. Using longitudinal growth and multi-level modeling, I found that sibling relational victimization decreased across adolescence for both siblings, with younger siblings reporting higher frequency of sibling relational victimization relative to older siblings. On a general level, parent-adolescent and sibling intimacy and conflict were associated with sibling relational victimization, albeit in different ways for mixed- and same-gender dyads and older and younger siblings. Overall, findings from study 1 highlight the importance of examining parent-youth and sibling relationship dynamics, the vulnerability of younger siblings as victims of sibling relational victimization, and the interplay of sibling gender dynamics and father-youth relationships on sibling relational victimization experiences in adolescence. In study 2, I examined whether sibling relational victimization and negativity moderate the associations between parent-adolescent conflict and friendship control, conflict, and perspective taking in adolescence. Variation by sibling birth order and gender also was explored. Using path analytic models, I found that mother-adolescent, sibling, and friendship dynamics were interlinked, such that mother-adolescent conflict in combination with sibling negativity and sibling relational aggression were associated with friendship outcomes, albeit differently by sibling gender and friendship outcome. Findings from study 2 suggest the importance of addressing negative mother-adolescent and sibling relationship dynamics in prevention and intervention curricula aimed at promoting positive friendship dynamics during adolescence.

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.

A simulation study was conducted to explore the robustness of general factor mean difference estimation in bifactor ordered-categorical data. In the No Differential Item Functioning (DIF) conditions, the data generation conditions varied were sample size, the number of categories per item, effect size of the general factor mean difference, and the size of specific factor loadings; in data analysis, misspecification conditions were introduced in which the generated bifactor data were fit using a unidimensional model, and/or ordered-categorical data were treated as continuous data. In the DIF conditions, the data generation conditions varied were sample size, the number of categories per item, effect size of latent mean difference for the general factor, the type of item parameters that had DIF, and the magnitude of DIF; the data analysis conditions varied in whether or not setting equality constraints on the noninvariant item parameters.

Results showed that falsely fitting bifactor data using unidimensional models or failing to account for DIF in item parameters resulted in estimation bias in the general factor mean difference, while treating ordinal data as continuous had little influence on the estimation bias as long as there was no severe model misspecification. The extent of estimation bias produced by misspecification of bifactor datasets with unidimensional models was mainly determined by the degree of unidimensionality (i.e., size of specific factor loadings) and the general factor mean difference size. When the DIF was present, the estimation accuracy of the general factor mean difference was completely robust to ignoring noninvariance in specific factor loadings while it was very sensitive to failing to account for DIF in threshold parameters. With respect to ignoring the DIF in general factor loadings, the estimation bias of the general factor mean difference was substantial when the DIF was -0.15, and it can be negligible for smaller sizes of DIF. Despite the impact of model misspecification on estimation accuracy, the power to detect the general factor mean difference was mainly influenced by the sample size and effect size. Serious Type I error rate inflation only occurred when the DIF was present in threshold parameters.

The objective of this research paper is to analyze and determine the relationships between childhood and adulthood transit behavior. The study investigates gender differences for each generation regarding childhood transit experiences. Childhood travel socialization was studied to understand its effects on childhood transit experience and perception. Lastly, childhood transit experience and perception were analyzed to determine their effect on adult transit usage. The variables the study analyzed were childhood peer impression of public transit, parental opinion of the safety of public transit, and the respondents’ childhood public transit experience. These variables were investigated to determine if they had an effect on adult use of public transit. The survey Transit Center’s Who’s On Board: 2014 Mobility Attitudes Survey (WOBMAS) was used to perform these analyses. The results showed that gender equality appears to be increasing in younger generations with respect to their ability to travel alone on public transit. In addition, men were more likely to travel by themselves on public transit when compared to women. There is a direct correlation between childhood travel socialization and childhood transit experience and opinion. However, there appears to be no correlation between childhood travel socialization and a child’s likeliness to travel on public transit alone. Childhood travel socialization had a counterintuitive effect on adult transit usage. On the contrary, it appears that childhood experience is significantly linked to adult transit usage. The data suggests that the earlier a person travels on public transit alone, the more likely they are to ride it as an adult.

Purpose: The present study examined grammatical gender use in child Spanish heritage speakers (HSs) in order to determine whether the differences observed in their grammar, when compared to Spanish monolinguals, stem from an incompletely acquired grammar, in which development stops, or from a restructuring process, in which features from the dominant and the weaker language converge to form a new grammatical system. In addition, this study evaluated whether the differences usually found in comprehension are also present in production. Finally, this study evaluates if HSs differences are the result of the input available to them.

Method: One-hundred and four typically developing children, 48 HSs and 58 monolingual, were selected based on two age groups (Preschool vs. 3rd Grade). Two comprehension and three production experimental tasks were designed for the three different grammatical structures where Spanish expresses gender (determiners, adjectives, and clitic pronouns). Linear mixed-models were used to examine main effects between groups and grammatical structures.

Results: Results from this study showed that HSs scored significantly lower than monolingual speakers in all tasks and structures; however, 3rd-Grade HSs had higher accuracy than PK-HSs. Error patterns were similar between monolinguals and HSs. Moreover, the commonly reported overgeneralization of the masculine form seems to decrease as HSs get older.

Conclusion: These results suggest that HSs’ do not face a case of Incomplete Acquisition or Restructured Grammatical gender system, but instead follow a protracted language development in which grammatical skills continue to develop after preschool years and follow the same developmental patterns as monolingual children

Investigation of measurement invariance (MI) commonly assumes correct specification of dimensionality across multiple groups. Although research shows that violation of the dimensionality assumption can cause bias in model parameter estimation for single-group analyses, little research on this issue has been conducted for multiple-group analyses. This study explored the effects of mismatch in dimensionality between data and analysis models with multiple-group analyses at the population and sample levels. Datasets were generated using a bifactor model with different factor structures and were analyzed with bifactor and single-factor models to assess misspecification effects on assessments of MI and latent mean differences. As baseline models, the bifactor models fit data well and had minimal bias in latent mean estimation. However, the low convergence rates of fitting bifactor models to data with complex structures and small sample sizes caused concern. On the other hand, effects of fitting the misspecified single-factor models on the assessments of MI and latent means differed by the bifactor structures underlying data. For data following one general factor and one group factor affecting a small set of indicators, the effects of ignoring the group factor in analysis models on the tests of MI and latent mean differences were mild. In contrast, for data following one general factor and several group factors, oversimplifications of analysis models can lead to inaccurate conclusions regarding MI assessment and latent mean estimation.