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Multiple outcomes of education
We study the transmission of beliefs about gender differences in math ability from adults to children and how this affects girls’ academic performance relative to boys. We exploit randomly assigned variation in the proportion of a child’s middle school classmates whose parents believe boys are innately better than girls at learning math. An increase in exposure to peers whose parents report this belief increases a child’s likelihood of believing it, with similar effects for boys and girls and greater effects from peers of the same gender. This exposure also affects children’s perceived difficulty of math, aspirations, and math performance, generating gains for boys and losses for girls.
Despite wide achievement gaps across California between students from different racial and socioeconomic backgrounds, some school districts have excelled at supporting the learning of all their students. This analysis identifies these positive outlier districts—those in which students of color, as well as White students, consistently achieve at higher levels than students from similar racial/ethnic backgrounds and from families of similar income and education levels in most other districts. These results are predicted, in significant part, by the qualifications of districts’ teachers, as measured by their certification and experience. In particular, the proportion of underprepared teachers—those teaching on emergency permits, waivers, and intern credentials—is associated with decreased achievement for all students, while teaching experience is associated with increased achievement, especially for students of color.
We characterize the extent to which Black-White gaps for multiple educational outcomes are linked across school districts in the United States. Gaps in disciplinary action, grade-level retention, classification into special education and Gifted and Talented, and Advanced Placement course-taking are large in magnitude and correlated. Racial differences in family income and parent education are strikingly consistent predictors of these gaps, and districts with large gaps in one outcome are likely to have large gaps in another. Socioeconomic and segregation variables explain 1.7 to 3.5 times more variance for achievement relative to non-achievement outcomes. Systemic patterns of racial socioeconomic inequality drive inequalities across multiple educational outcomes; however, discretionary policies at local levels are more influential for non-achievement outcomes.
While the importance of social-emotional learning for student success is well established, educators and researchers have less knowledge and agreement about which social-emotional skills are most important for students and how these skills distribute across student subgroups. Using a rich longitudinal dataset of 221,840 fourth through seventh grade students in California districts, this paper describes growth mindset gaps across student groups, and confirms, at a large scale, the predictive power of growth mindset for achievement gains, even with unusually rich controls for students’ background, previous achievement, and measures of other social-emotional skills. Average annual growth in English language arts and math corresponding to differences between students with fixed and growth mindset in a same school and grade level is 0.07 and 0.05 standard deviations respectively, after adjusting for students’ characteristics and previous achievement. This estimate is equivalent to 48 and 35 additional days of learning.
Access to private schools and public charter schools might improve parent and student satisfaction through competitive pressures and improved matches between educators and students. Using a nationally representative sample of 13,436 students in the United States in 2016, I find that public charter schools and private schools outperform traditional public schools on six measures of parent and student satisfaction. Respondents with children in private schools also tend to report higher levels of satisfaction than respondents with children in public charter schools. The results are robust to various analytic techniques and specifications.
This paper presents new experimental estimates of the impact of low-ability peers on own outcomes using nationally representative data from China. We exploit the random assignment of students to junior high school classrooms and find that the proportion of low-ability peers, defined as having been retained during primary school (“repeaters”), has negative effects on non-repeaters’ cognitive and non-cognitive outcomes. An exploration of the mechanisms shows that a larger proportion of repeater peers is associated with reduced after-school study time. The negative effects are driven by male repeaters and are more pronounced among students with less strict parental monitoring at home.
Despite substantial evidence that resources and outcomes are transmitted across generations, there has been limited inquiry into the extent to which anti-poverty programs actually disrupt the cycle of bad outcomes. We explore how the effects of the United States’ largest early childhood program, Head Start, transfer across generations. We leverage the rollout of this federally funded, means-tested preschool program to estimate the effect of early childhood exposure among mothers on their children’s long-term outcomes. We find evidence of intergenerational transmission of effects in the form of increased educational attainment, reduced teen pregnancy, and reduced criminal engagement in the second generation.
Existing research on self-management skills shows that measures of self-management predict student success. However, these conclusions are based on small samples or narrowly defined self-management measures. Using a rich longitudinal dataset of 221,840 fourth through seventh grade students, this paper describes self-management gaps across student groups, and confirms, at a large scale, the predictive power of self-management for achievement gains, even with unusually rich controls for students’ background, previous achievement, and measures of other social-emotional skills. Self-management is a better predictor of student learning than are other measures of socioemotional skills. Average growth in English language arts due to changing from a low to a high level of self-management is between 0.091 and 0.112 standard deviations, equivalent to almost 80 days of learning.
The sustaining environments hypothesis refers to the popular idea, stemming from theories in developmental, cognitive, and educational psychology, that the long-term success of early educational interventions is contingent on the quality of the subsequent learning environment. Several studies have investigated whether specific kindergarten classroom and other elementary school factors account for patterns of persistence and fadeout of early educational interventions. These analyses focus on the statistical interaction between an early educational intervention – usually whether the child attended preschool – and several measures of the quality of the subsequent educational environment. The key prediction of the sustaining environments hypothesis is a positive interaction between these two variables. To quantify the strength of the evidence for such effects, we meta-analyze existing studies that have attempted to estimate interactions between preschool and later educational quality in the United States. We then attempt to establish the consistency of the direction and a plausible range of estimates of the interaction between preschool attendance and subsequent educational quality by using a specification curve analysis in a large, nationally representative dataset that has been used in several recent studies of the sustaining environments hypothesis. The meta-analysis yields small positive interaction estimates ranging from approximately .00 to .04, depending on the specification. The specification curve analyses yield interaction estimates of approximately 0. Results suggest that the current mix of methods used to test the sustaining environments hypothesis cannot reliably detect realistically sized effects. Our recommendations are to combine large sample sizes with strong causal identification strategies, and to study combinations of interventions that have a strong probability of showing large main effects.
This paper describes and evaluates a web-based coaching program designed to support teachers in implementing Common Core-aligned math instruction. Web-based coaching programs can be operated at relatively lower costs, are scalable, and make it more feasible to pair teachers with coaches who have expertise in their content area and grade level. Results from our randomized field trial document sizable and sustained effects on both teachers’ ability to analyze instruction and on their instructional practice, as measured the Mathematical Quality of Instruction (MQI) instrument and student surveys. However, these improvements in instruction did not result in corresponding increases in math test scores as measured by state standardized tests or interim assessments. We discuss several possible explanations for this pattern of results.