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Descriptors:
Structural Equation Models; Academic Achievement; Motivation; Self Determination; Medical Education; Medical Students; Gender Differences; Grade Point Average; Statistical Analysis; Goodness of Fit; Foreign Countries

Abstract:
Few studies in medical education have studied effect of quality of motivation on performance. Self-Determination Theory based on quality of motivation differentiates between Autonomous Motivation (AM) that originates within an individual and Controlled Motivation (CM) that originates from external sources. To determine whether Relative Autonomous Motivation (RAM, a measure of the balance between AM and CM) affects academic performance through good study strategy and higher study effort and compare this model between subgroups: males and females; students selected via two different systems namely qualitative and weighted lottery selection. Data on motivation, study strategy and effort was collected from 383 medical students of VU University Medical Center Amsterdam and their academic performance results were obtained from the student administration. Structural Equation Modelling analysis technique was used to test a hypothesized model in which high RAM would positively affect Good Study Strategy (GSS) and study effort, which in turn would positively affect academic performance in the form of grade point averages. This model fit well with the data, Chi square = 1.095, df = 3, p = 0.778, RMSEA model fit = 0.000. This model also fitted well for all tested subgroups of students. Differences were found in the strength of relationships between the variables for the different subgroups as expected. In conclusion, RAM positively correlated with academic performance through deep strategy towards study and higher study effort. This model seems valid in medical education in subgroups such as males, females, students selected by qualitative and weighted lottery selection. Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Grade Point Average; Outcome Measures; Video Games; Effect Size; Academic Achievement; Case Studies; Aggression; Spatial Ability; Mathematics Skills; Violence; Hispanic Americans; Adolescents; Preadolescents; Age Differences; Correlation; Visual Perception

Abstract:
The United States Supreme Court's recent decision relating to violent video games revealed divisions within the scientific community about the potential for negative effects of such games as well as the need for more, higher quality research. Scholars also have debated the potential for violent games to have positive effects such as on visuospatial cognition or math ability. The current study sought to extend previous literature by using well-validated clinical outcome measures for relevant constructs, which have generally been lacking in past research. Cross-section data on aggression, visuospatial cognition, and math achievement were available for a sample of 333 (51.7% female) mostly Hispanic youth (mean age = 12.76). Prospective 1-year data on aggression and school GPA were available for 143 (46.2% female) of those youth. Results from both sets of analysis revealed that exposure to violent game had neither short-term nor long-term predictive influences on either positive or negative outcomes. A developmental analysis of the cross-sectional data revealed that results did not differ across age categories of older children, preadolescents or adolescents. Analysis of effect sizes largely ruled out Type II error as a possible explanation for null results. Suggestions for new directions in the field of video game research are proffered. Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Grade Point Average; Genetics; Social Environment; Depression (Psychology); Interaction; Body Weight; Twins; Children; Environmental Influences; Correlation; Birth; Nutrition; Delinquency; Prenatal Influences

Abstract:
Numerous studies report gene-environment interactions, suggesting that specific alleles have different effects on social outcomes depending on environment. In all these studies, however, environmental conditions are potentially endogenous to unmeasured genetic characteristics. That is, it could be that the observed interaction effects actually reflect underlying genetic tendencies that lead individuals into certain environments. What is critical to move this literature forward is random environmental variation that we know is not correlated with innate characteristics of subjects. We exploit a natural experiment that randomizes a particular stressor--birth weight discordance within twin pairs--to address this challenge and ask: Do random differences in early environment (prenatal nutrition) moderate genetic effects on depression, delinquency, or GPA? Using Add Health data, the only consistently significant allele-birth weight interaction we reveal works in the opposite direction of Caspi et al.'s classic finding regarding the interaction of maltreatment with genetic variation in the serotonin transporter promoter. Less robust interactions found for "DRD2" and "MAOA" are consistent with this pattern that reverses prior findings. These results do not necessarily overturn existing research but support our methodological point that gene-environment research must address endogeneity. (Contains 6 tables, 1 figure and 9 notes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Academic Achievement; Adolescents; Social Capital; Friendship; Comparative Analysis; College Graduates; Graduation; Family Income; Mothers; Parent Influence; Cultural Influences; Grade Point Average; Peer Influence; Secondary School Students; Racial Differences; Educational Attainment

Abstract:
Research on social capital in education rarely considers how the resources students can access through their friendships affect educational outcomes later in life. Using the National Longitudinal Study of Adolescent Health, we explore how having resource-rich best friends impacts adolescents' college completion. We compare the influence of friends' material and cultural resources and their effects relative to adolescents' family resources. We find that having a best friend with a college-educated mother significantly increases the likelihood of college completion, though having a best friend whose parents are high income does not. This positive effect of best friends' cultural resources is not explained fully by school achievement or by the expectations of respondents, best friends, or parents. We conclude that adolescent friendships are an underrecognized source of social capital. (Contains 5 tables and 14 notes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Academic Achievement; Child Abuse; Grade Point Average; Behavior Problems; Crime; Path Analysis; Graduation; Young Adults; Educational Experience; Role; Attendance; Law Enforcement; Multivariate Analysis; Academic Aspiration; Gender Differences; Race; Ethnicity; Poverty; Antisocial Behavior; Urban Youth; Interviews; Resilience (Psychology)

Abstract:
This study investigates whether positive educational experiences in midadolescence mitigate the impact of exposure to substantiated maltreatment and reduces young adult antisocial behavior. While there is theoretical and empirical support for the mediating or moderating role of educational experiences on maltreatment and antisocial outcomes, few prospective studies exist. In this exploratory study, data are from the Rochester Youth Development Study (RYDS), a longitudinal panel study of 1,000 adolescents. The original sample included 73% males, and 85% African American or Hispanic youth of whom about 20% were maltreated. Measures in this study are from a combination of interview data and official records collected through age 23. Outcomes include self-reported crime and violence, arrest, and partner violence perpetration. Educational variables include midadolescent self-report of high school graduation, educational aspiration, college expectation, school commitment, teacher attachment, self-reported grades, school GPA, attendance, and an additive index of all school assets. Multivariate path analysis controlled for gender, race/ethnicity, poverty, and early antisocial behavior. Path analysis examined whether educational experiences mediated the impact of maltreatment on antisocial outcomes. Although maltreatment was significantly predictive of criminal and violent behaviors, it only was weakly associated with educational experiences. The impact of maltreatment on arrest was weakly mediated (reduced) by educational GPA and by high school graduation. The additive index also mediated the impact of maltreatment on crime and violence. Maltreatment's impact on partner violence was also weakly mediated by school GPA. Interaction terms were used to test for moderation: only one significant effect was found: school GPA protects maltreated youth from perpetration of partner violence as young adults. Although there are few significant effects in a number of models, the research is consistent with a focus on promoting school achievement and completion among urban youth in general, in conjunction with addressing earlier antisocial behavior problems. (Contains 2 tables, 4 figures, and 8 notes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Grade Point Average; Multivariate Analysis; Predictor Variables; Graduation; Grade 9; Educational Attainment; Urban Schools; Longitudinal Studies; Dropout Prevention; At Risk Students; Program Effectiveness; Gender Differences; Correlation; College Attendance; Grade 8; Enrollment Trends; Intervention; Attendance Patterns; High School Students; African American Students; Limited English Speaking; Special Education; Socioeconomic Status; Student Behavior

Abstract:
This study of graduation outcomes in Baltimore uses multivariate analysis of longitudinal student cohort data to examine the impact of factors identified in previous research as early warning indicators of a dropout outcome. Student cohort files were constructed from longitudinal administrative data (following all first-time 2004-2005 and 2005-2006 9th graders forward in time until their on-time graduation year and 1 year past). Sequentially estimated logistic regression hierarchical linear modeling models indicated the strongest predictors of graduation were 9th-grade attendance and course failure, although gender was still significant. Multinomial logistic regression models were used to analyze the relationship between the 4 categories of college enrollment outcomes (enrollment in a 4-year college, enrollment in a 2-year college, graduation with no college enrollment, and nongraduation) and student-level predictor variables, including grade point average (GPA) and 8th-grade test scores. Results suggest that equipping schools to implement interventions to address chronic absenteeism and course failure in 9th grade is a crucial strategy for increasing both high school graduation and college enrollment. (Contains 8 tables and 6 footnotes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Educational Change; Urban Areas; Low Achievement; Grade 9; At Risk Students; Educational Improvement; Student Needs; Identification; Intervention; High Schools; Program Effectiveness; Educational Indicators; Dropout Prevention; Graduation Rate; Student Characteristics; Gender Differences; Racial Differences; Student Mobility; Reading Achievement; Mathematics Achievement; Age Differences; Socioeconomic Status; Grade Point Average

Abstract:
Chicago has been in the forefront of the country in its use of 9th-grade indicators of dropout. Catalyzed by the development of the freshman on-track indicator and research around it, Chicago school administrators, central office personnel, and external partners have developed a number of mechanisms using 9th-grade indicators to stimulate school improvement. This article describes 3 ways in which early warning indicators are useful for improving student achievement: (a) focusing conversations and efforts on actionable problems; (b) identifying students for intervention; and (c) using indicator patterns to address low performance in a strategic way. Examples from high schools in Chicago suggest that knowledge of the on-track indicator and its use in district accountability were not enough to change practice. However, the availability of data tools that make it easy to act on information about on-track rates have changed the ways in which teachers and school staff interact with each other, students, and parents regarding improving student performance. The strategies they have developed with the data tools have provided a systematic focus to their efforts, which appears to be paying off in substantially improved ninth-grade achievement. (Contains 1 table, 4 figures, and 11 footnotes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Academic Achievement; Class Rank; Academic Records; Grade Point Average; Rural Areas; Rural Education; Foreign Countries; Urban Schools; Rural Urban Differences; Disproportionate Representation; Selective Admission; College Admission; Educational Policy; Student Records

Abstract:
Despite a major expansion in the number of students in higher education, students from rural areas continue to be underrepresented at selective universities. To reduce the urban-rural imbalance of entry to selective universities, institutions in many countries of the world have implemented admission policies favoring rural students. Previous evidence has shown that rural students have lower academic performance than their urban peers, which leads to concern that rural students will reduce the academic excellence of selective universities. Using the introduction of a university admission policy favoring rural students in Taiwan and a unique administrative data set of students' academic records, we compare the academic performance of students from rural areas with that of their urban counterparts during their college years. The results show that rural students have consistently outperformed urban students in semester grade point averages and class rank percentile across time; however, the differences in academic performance are mainly attributed to the rural students' initial outperformance in the first semester of the freshman year. (Contains 6 tables, 2 figures and 11 footnotes.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Academic Achievement; Educational Policy; Racial Composition; Social Science Research; Elementary Schools; Secondary Schools; Age Differences; Effect Size; Minority Group Students; Meta Analysis; Outcomes of Education; Educational Environment; Racial Differences; Socioeconomic Status; At Risk Students; Grade Point Average; African American Students; Hispanic American Students; White Students; High School Students; Middle School Students; Elementary School Students; Grades (Scholastic)

Abstract:
Recently published social science research suggests that students attending schools with concentrations of disadvantaged racial minority populations achieve less academic progress than their otherwise comparable counterparts in more racially balanced or integrated schools, but to date no meta-analysis has estimated the effect size of school racial composition on mathematics outcomes. This metaregression analysis reviewed the social science literature published in the past 20 years on the relationship between mathematics outcomes and the racial composition of the K-12 schools students attend. The authors employed a two-level hierarchical linear model to analyze the 25 primary studies with 98 regression effects. Results indicate that school racial isolation has a small statistically significant negative effect on overall building-level mathematics outcomes. This relationship is moderated by the size of the sample in the study and by the way the independent variable was operationalized. Although it is small, the effect size is substantively meaningful. The effects are stronger in secondary compared to elementary grades, and racial gaps widen as students age. The emergence and widening of the race gaps as students move through the grades suggest that the association of racial segregation with mathematics performance compounds over time. Implications for educational policy and future research are discussed. (Contains 6 tables and 1 note.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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Descriptors:
Educational Attainment; Job Satisfaction; Young Adults; Structural Equation Models; Outcomes of Education; Career Development; Adolescents; Socioeconomic Influences; Parent Influence; Predictor Variables; Expectation; Success; Gender Differences; Family Income; Grade Point Average; Employment Level

Abstract:
Building on the Wisconsin Model of Status Attainment, this study examined the contextual process of obtaining educational attainment and the subsequent work outcomes and career satisfaction. This study used the National Longitudinal Study of Adolescent Health (Add Health) with structural equation modeling techniques to assess US participants from adolescence to young adulthood (N = 8309). Socioeconomic resources provided by parents in adolescence directly predicted education outcomes and were partially mediated by family success expectations. Family success expectations were an important predictor of education outcomes. Neither socioeconomic resources nor success expectations directly predicted work outcomes or career satisfaction. Instead, education was the direct predictor of career satisfaction with work outcomes partially mediating. A multiple group analysis was conducted to compare outcomes between men and women. The discussion explores the implications of the findings and educational attainment for young adults in a global society. (Contains 3 tables and 2 figures.) Note:The following two links are not-applicable for text-based browsers or screen-reading software. Show Hide Full Abstract

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