Matching Items (45)
Description
Described is a study investigating the feasibility and predictive value of the Teacher Feedback Coding System, a novel observational measure of teachers’ feedback provided to students in third grade classrooms. This measure assessed individual feedback events across three domains: feedback type, level of specificity and affect of the teacher. Exploratory and confirmatory factor analysis revealed five factors indicating separate types of feedback: positive and negative academic-informative feedback, positive and negative behavioral-informative feedback, and an overall factor representing supportive feedback. Multilevel models revealed direct relations between teachers’ negative academic-informative feedback and students’ spring math achievement, as well as between teachers’ negative behavioral-informative feedback and students’ behavior patterns. Additionally, a fall math-by-feedback interaction was detected in the case of teachers’ positive academic-informative feedback; students who began the year struggling in math benefitted from more of this type of feedback. Finally, teachers’ feedback was investigated as a potential mediator in a previously established relation between teachers’ self-reported depressive symptoms and the observed quality of the classroom environment. Partial mediation was detected in the case of teachers’ positive academic-informative feedback, such that this type of feedback was accountable for a portion of the variance observed in the relation between teachers’ depressive symptoms and the quality of the classroom environment.
ContributorsMcLean, Leigh Ellen (Author) / Connor, Carol M. (Thesis advisor) / Lemery, Kathryn (Committee member) / Doane, Leah (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2015
Description
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.
ContributorsAdelman, Robert Mark (Author) / Kwan, Virginia S. Y. (Thesis advisor) / Grimm, Kevin (Committee member) / Aktipis, Athena (Committee member) / Neuberg, Steven (Committee member) / Arizona State University (Publisher)
Created2018
Description
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.
ContributorsMenary, Kyle Robert (Author) / Corbin, William (Thesis advisor) / Chassin, Laurie (Committee member) / Meier, Madeline (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2018
Description
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.
ContributorsVadlamani, Sravani (Author) / Lou, Yingyan (Thesis advisor) / Pendyala, Ram (Committee member) / Zhou, Xuesong (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2018
Description
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.
ContributorsBreitenstein, Reagan Styles (Author) / Doane, Leah D. (Thesis advisor) / Lemery-Chalfant, Kathryn (Committee member) / Perez La Mar, Marisol (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2019
Description
The following study was developed to investigate the development of writing skills in second and third grade students. The recent emphasis on writing, specifically writing in multiple genres, made in the Common Core State Standards (CCSS, 2010) has increased the need to further understand how students write. The NAEP (2002) reports that approximately 77% of fourth grade students have only a general grasp of writing. Despite this poor performance, the Common Core State Standards (CCSS, 2010) have increased the expectations for student writing. The goal of this proposed dissertation, using an holistic literacy perspective, is to shed light on differences in how students write in informative and opinion genres, which skills predict writing outcomes, the extent to which reciprocal effects between writing and literacy are present, and what type of student profiles exist within the classroom. It was found that students received lower scores on opinion writing compared to their informative compositions. It was also found that better reading comprehension was associated with better writing performance in both genres. High vocabulary ability predicted higher opinion essay scores and better performance on a behavioral regulation task predicted better informative essay outcomes. Reciprocal effects between writing outcomes and literacy skill were found, with higher opinion writing scores predicted higher vocabulary outcomes. Finally, students appeared to fall into four latent profiles: high achievers, average achievers, struggling students, and a group of students who have average literacy skill but scored extremely poorly on the opinion essay task.
ContributorsIngebrand, Sarah Wynonah (Author) / Connor, Carol M (Thesis advisor) / Lemery-Chalfant, Kathryn (Committee member) / Harris, Karen (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2016
Description
The present study aimed to test the effect of role socialization processes on declines in drinking after marriage. Role socialization as it relates to marriage theorizes that after occupying a role, individuals are likely to change their behaviors to conform to role expectations of marriage, such as reductions in drinking (Yamaguchi & Kandel, 1985). Previous literature has examined declines in drinking behaviors after marriage and inferred that role socialization was the underlying process. This study is the first to directly test whether beliefs that alcohol is harmful to the marital role predicted declines in frequency of drunkenness after marriage. Ordered probit regression was used to test the effect of marriage-related motives to limit drinking on declines in frequency of drunkenness from before marriage to after marriage. Analyses revealed that marriage-related motives to limit drinking were not significantly predictive of declines in frequency of drunkenness after marriage. Only partner drinking emerged as a significant predictor of declines in frequency of drunkenness after marriage. These results highlight the need for a reliable and valid measure of role socialization processes as they relate to the marital role. Furthermore, future studies should consider studying participants at different time points after marriage and consider measuring commitment to the marital role as a moderator. Such studies will help to better understand the results of this study as well as better understand the marriage effect on drinking.
ContributorsSternberg, Ariel (Author) / Chassin, Laurie (Thesis advisor) / Grimm, Kevin (Committee member) / Corbin, Will (Committee member) / Arizona State University (Publisher)
Created2016
Description
There is a growing trend among community samples of young, adult women to initiate drug use for weight loss (Boys, Marsden, & Strang, 2001; Mendieta-Tan, Hulbert-Williams, & Nicholls, 2013). Research has suggested that consequential weight loss may maintain drug use (Cohen, et al., 2010; Ersche, Stochl, Woodward, & Fletcher, 2013; Sirles, 2002), which is compounded by women's perception that drugs are convenient and guarantee weight loss (Mendieta-Tan, et al., 2013). Stimulants, including cocaine, amphetamine, methamphetamine, and ecstasy, are notable drugs of use among college students (Johnston, et al., 2014; Teter, McCabe, LaGrange, Cranford, & Boyd, 2006). With known appetitive and metabolic effects, stimulants may be particularly attractive to college women, who are at elevated risk for increased body dissatisfaction and experimenting with extreme weight loss techniques (Grunewald, 1985; National Eating Disorder Association, 2013). A preliminary epidemiological study of 130 college women between 16- and 24-years old (Mage = 18.76, SDage = 1.09) was conducted to begin to investigate this phenomenon. Results showed women who reported use for weight control (n = 19, 14.6 %) predominantly used stimulants (68.4%), and this subgroup was severely elevated on global and subscales of eating pathology compared with college norms. Moreover, the odds of stimulant use were doubled when women engaged in a compensatory behavior, such as excessive exercise, self-induced vomiting, and laxative use. Although preliminary, these results suggest that a desire for weight control may be associated with stimulant use among college women. Women engaging in more extreme weight loss behaviors are at high risk for initiating and maintaining illicit stimulant use for weight-related reasons.
ContributorsBruening, Amanda B (Author) / Perez, Marisol (Thesis advisor) / Grimm, Kevin (Committee member) / Chassin, Laurie (Committee member) / Arizona State University (Publisher)
Created2016
Description
Clinically meaningful emotional and behavioral problems are thought to be present beginning in infancy, and may be reliably assessed in children as young as 12 months old. However, few studies have investigated early correlates of emotional and behavioral problems assessed in infancy. The current study investigates the direct and interactive contributions of early infant and caregiver characteristics thought to play an important role in the ontogeny of behavior problems. Specifically, the study examines: (1) the links between temperamental reactivity across the first year of life and behavior problems at 18 months, (2) whether children high in temperamental reactivity are differentially susceptible to variations in maternal sensitivity, (3) the extent to which child temperamental risk or susceptibility may further be explained by mothers’ experiences of stressful life events (SLEs) during and before pregnancy. Data were collected from 322 Mexican American families during prenatal, 6-, 12-, 18-, and 24-week home interviews, as well as during 12- and 18-month lab interviews. Mother reports of SLEs were obtained between 23-40 weeks gestation; temperamental negativity and surgency at 6 weeks and 12 months; and internalizing and externalizing behaviors at 18 months. Maternal sensitivity during structured mother-infant interaction tasks at the 6-, 12-, 18-, and 24-week visits was assessed by objective observer ratings. Study findings indicated that maternal SLEs before birth were associated with more infant negativity across the first year of life, and that negativity in turn was associated with more internalizing problems at 18 months. Ecological stressors thought to be associated with sociodemographic risk factors such as low-income and ethnic minority status may begin to exert cascades of influence on children’s developmental outcomes even before birth.
ContributorsLin, Betty (Author) / Crnic, Keith A (Thesis advisor) / Lemery-Chalfant, Kathryn S (Committee member) / Luecken, Linda J. (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2016
Description
This paper investigates a relatively new analysis method for longitudinal data in the framework of functional data analysis. This approach treats longitudinal data as so-called sparse functional data. The first section of the paper introduces functional data and the general ideas of functional data analysis. The second section discusses the analysis of longitudinal data in the context of functional data analysis, while considering the unique characteristics of longitudinal data such, in particular sparseness and missing data. The third section introduces functional mixed-effects models that can handle these unique characteristics of sparseness and missingness. The next section discusses a preliminary simulation study conducted to examine the performance of a functional mixed-effects model under various conditions. An extended simulation study was carried out to evaluate the estimation accuracy of a functional mixed-effects model. Specifically, the accuracy of the estimated trajectories was examined under various conditions including different types of missing data and varying levels of sparseness.
ContributorsWard, Kimberly l (Author) / Suk, Hye Won (Thesis advisor) / Aiken, Leona (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2016