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- Creators: Department of Psychology
Expectation for college attendance in the United States continues to rise as more jobs require degrees. This study aims to determine how parental expectations affect high school students in their decision to attend college. By examining parental expectations that were placed on current college students prior to and during the application period, we can determine the positive and negative outcomes of these expectations as well as the atmosphere they are creating. To test the hypothesis, an online survey was distributed to current ASU and Barrett, Honors College students regarding their experience with college applications and their parents' influence on their collegiate attendance. A qualitative analysis of the data was conducted in tandem with an analysis of several case studies to determine the results. These data show that parental expectations are having a significant impact on the enrollment of high school students in college programs. With parents placing these expectations on their children, collegiate enrollment will continue to increase. Further studies will be necessary to determine the specific influences these expectations are placing on students.
Expectation for college attendance in the United States continues to rise as more jobs require degrees. This study aims to determine how parental expectations affect high school students in their decision to attend college. By examining parental expectations that were placed on current college students prior to and during the application period, we can determine the positive and negative outcomes of these expectations as well as the atmosphere they are creating. To test the hypothesis, an online survey was distributed to current ASU and Barrett, Honors College students regarding their experience with college applications and their parents' influence on their collegiate attendance. A qualitative analysis of the data was conducted in tandem with an analysis of several case studies to determine the results. These data show that parental expectations are having a significant impact on the enrollment of high school students in college programs. With parents placing these expectations on their children, collegiate enrollment will continue to increase. Further studies will be necessary to determine the specific influences these expectations are placing on students.
Executive functioning (EF) is the cognitive processing of goal-oriented actions that are predictive of important life functioning skills. Middle childhood is an important time for academic achievement and social development. Positive and negative parenting practices were examined in the prediction of several child executive functioning outcomes in middle childhood, this thesis further examined whether early life socioeconomic status moderated such associations. This sample consisted of 708 twins (32% monozygotic, 36% same-sex dizygotic, and 32% opposite-sex dizygotic) with ethnically and socioeconomically diverse backgrounds at two age points, 12 months old (M = 12.5 months, SD = 1.06) and 8 years old (M = 8.41, SD = .40).There was a significant negative main effect between negative parenting and CPT. Further, positive parenting interacted with SES to predict CPT and Digit Span Forward. A significant positive effect was identified between positive parenting and CPT in low SES families, but not high SES families. Interestingly, greater positive parenting was associated with lower Digit Span Forward in high SES families, but not low SES families. These findings suggest that while negative parenting was associated with worse EF across the entire sample, the relationship between positive parenting practices and executive functioning outcomes differed based on early life socioeconomic status. Future research should examine whether various domains of executive functioning may follow different developmental patterns.
My project examined the different types of parenting information parents and caregivers use. And how useful, accurate, accessible, and likely to use these types of parenting information are. I also examined these differences across SES to see if there were any variances.
College students are exposed to stress accumulating from daily challenges, personal relationships, financial struggles, and academic pressure. Stressors can challenge an individual to perform better or serve as a hindrance to academic achievement, depending on the individual’s perception of stressors and capacity to overcome them (Lepine et al., 2004). Optimal levels of stress are beneficial to managing responsibilities in a timely manner, while unmanageable levels of stress can negatively impact motivation and achievement. Higher levels of negatively perceived stress could have measurable consequences on academic outcomes, including lower motivation and lower achievement. This study focuses on examining the prospective relationship between levels of college stress and the academic outcomes, accounting for individual differences in vulnerability to stress. Specifically, I examined whether the associations between stress (T2) and academic outcomes (T3) were moderated by earlier (T1) levels of economic hardship and effortful control as risk and resilience factors, respectively. I predicted that higher levels of college stress would be associated with lower academic motivation and performance. I expected that higher effortful control would show a stronger association between higher academic motivation and achievement with lower college stress levels. I also predicted that higher levels of familial economic hardship would exacerbate the influence of college stress on lower academic motivation and achievement. This study utilized data collected from survey measures administered to students during the transition from high school to college. Results demonstrated a significant negative association between increased college stress and higher academic outcomes. A lack of significant interactions propose that economic hardship does not have negative effects on academic outcomes. The findings of this study will help universities to support students experiencing detrimental levels of stress to improve later academic outcomes.
The neighborhood context is an important predicator of developmental outcomes, as it is where children spend much of their time. Especially when it comes to urban, low-income areas, high neighbor danger and crime have been considered a developmental risk. Research has documented the links between neighborhood environments and academic achievement, but less is known regarding the holistic view that considers contexts in conjunction with the neighborhood, despite these being important levels of influence. Thus, this study examined: 1) the direct associations between parent report of neighborhood danger and objectively measured neighborhood crime and academic achievement (e.g., Woodcock-Johnson IV), 2) family level stress as a potential mediator in these links, and 3) the teacher-child relationship as a potential moderator of these associations. Participants were from the ethnically and socioeconomically diverse Arizona Twin Project study (N=707 twin children, Mage = 8.44 years; SD = 0.69; 28.0% Hispanic/Latino, 57.7% Non-Hispanic White, 3.4% Asian American, 3.8% African American, 2.6% Native American, and 2.8% multiethnic or other; 53.5% middle to upper class, 15.6% lower middle class, 21.6% living near the poverty line, and 7.4% living in poverty as calculated by an income to needs ratio). There were no direct effects between subjective neighborhood danger and indicators of academic achievement, but there was a positive association between objective crime and scores on applied problems (an indicator of math achievement). Family- level stress was a significant mediator of perceptions of neighborhood danger and scores on passage comprehension (an indicator of reading achievement) but did not play a mediating role in the relation between objective crime and academic achievement. Specifically, higher levels of danger and crime were associated with greater levels of family stress, and lower levels of academic achievement scores. The teacher-child relationship was not a moderator in the relation between neighborhood danger/crime and academic achievement. Study findings provide additional evidence regarding the differences in subjectively versus objectively obtained data on the neighborhood environment and can inform future intervention (e.g., in the home and at schools) that support student’s academic achievement by addressing multiple levels of contextual influence.
Significant health inequalities exist between different castes and ethnic communities in India, and identifying the roots of these inequalities is of interest to public health research and policy. Research on caste-based health inequalities in India has historically focused on general, government-defined categories, such as “Scheduled Castes,” “Scheduled Tribes,” and “Other Backward Classes.” This method obscures the diversity of experiences, indicators of well-being, and health outcomes between castes, tribes, and other communities in the “scheduled” category. This study analyzes data on 699,686 women from 4,260 castes, tribes and communities in the 2015-2016 Demographic and Health Survey of India to: (1) examine the diversity within and overlap between general, government-defined community categories in both wealth, infant mortality, and education, and (2) analyze how infant mortality is related to community category membership and socioeconomic status (measured using highest level of education and household wealth). While there are significant differences between general, government-defined community categories (e.g., scheduled caste, backward class) in both wealth and infant mortality, the vast majority of variation between communities occurs within these categories. Moreover, when other socioeconomic factors like wealth and education are taken into account, the difference between general, government-defined categories reduces or disappears. These findings suggest that focusing on measures of education and wealth at the household level, rather than general caste categories, may more accurately target those individuals and households most at risk for poor health outcomes. Further research is needed to explain the mechanisms by which discrimination affects health in these populations, and to identify sources of resilience, which may inform more effective policies.