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Race, ethnicity and culture
Prior research has shown that EL classification is consequential for students, however, less is known about how EL classification impacts students’ outcomes. In this study, we examine one hypothesized mechanism: teacher perceptions. Using nationally-representative data (ECLS-K:2011), we use coarsened exact matching to estimate the effect of EL status on teachers’ perceptions of students’ skills in language arts, math, science, and social studies in kindergarten through second grade. We further explore whether that impact is moderated by instructional setting (bilingual versus English immersion). We find evidence that EL classification results in lower teacher perceptions across content areas and grade levels. This impact is, however, moderated by bilingual environments. This study adds to research on teacher perceptions and the effects of EL classification.
We conduct an online survey experiment in which participants are asked to imagine that they are parents moving to a new metropolitan area. They then choose between the five largest school districts in that area. All participants receive demographic data for each district. In addition, some participants are randomly assigned to receive average achievement and/or average growth data for each district. While there are strong relationships between student demographics and student achievement, the links between student demographics and student growth are much weaker. We find that, on average, the provision of growth data causes participants to choose less white and less wealthy districts. Moreover, the provision of both achievement and growth data causes participants to choose less white and less wealthy districts than the provision of achievement data alone.
Research has begun to investigate whether teachers and schools are as effective with certain student subgroups as they are with the overall student population. Most of this research has examined the issue by trying to produce causal estimates of school contributions to short-term student growth (usually using value-added models) and has emphasized rank orderings of schools by subgroup. However, not much is known about whether schools contributing to long-term growth for all students are also contributing to student growth by subgroup in ways that might close achievement gaps. In this study, schools’ contributions to student growth are estimated separately for Black versus White students. Results show that focusing on rank orderings of schools alone can mask troubling trends in relative achievement over time. Options for how policymakers can sensibly hold schools accountable for student growth, including under The Every Student Succeeds Act, are discussed.
The well-documented racial disparities in school discipline have led many school districts in the U.S. to adopt restorative justice practices. The restorative justice philosophy differs from traditional disciplinary action by placing an emphasis on restitution and improving behavior rather than punishment. While models of restorative justice are descriptively and theoretically promising, research on restorative practices in schools is limited. We use student-level administrative data and a difference-in-difference design to measure the changes in student discipline outcomes that occurred under restorative justice in Pacific City schools between the 2008-2017 school years. Results indicate that restorative justice practices led to an overall reduction in disciplinary action. However, results also show that restorative justice practices had differential effects between racial groups, with White students benefiting most from restorative justice. These findings suggest that while the overall effects of restorative justice are promising, these practices may unintentionally widen the racial disproportionality in school discipline they are instituted to mitigate.
We study the transmission of beliefs about gender differences in math ability from adults to children and how this affects girls’ math performance relative to boys. We exploit randomly assigned variation in the proportion of a child’s middle school classmates whose parents believe boys are 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 academic performance, generating gains for boys and losses for girls. These effects are not driven by other sources of peer effects, such as peer cognitive ability, peer parent traits such as education and income, or the gender composition of the classroom.
Exploiting variation from principal and teacher transitions over long administrative data panels in Missouri and Tennessee, we estimate the effects of principal race on the hiring and turnover of racially diverse teachers. Evidence from the two states is strikingly similar. Black principals increase the probability that a newly hired teacher is Black by 5–7 percentage points. This result appears to be partially driven by principals hiring from within their networks of educators with whom they have worked before. Black principals also decrease Black teacher mobility, reducing the probability that a Black teacher changes schools by 2–5 percentage points. Increases in Black teacher hiring and reductions in turnover mean that a change from a White to a Black principal increases the fraction of Black teachers working in a school by about 3 percentage points, on average, increasing exposure of students to Black teachers. Further evidence suggests that assignment to a Black teacher increases the math achievement of Black students, though the presence of a Black principal appears to have positive impacts on Black students’ math achievement that is not explained by assignment to Black teachers.
Effect sizes in the Cohen’s d family are often used in education to compare estimates across studies, measures, and sample sizes. For example, effect sizes are used to compare gains in achievement students make over time, either in pre- and post-treatment studies or in the absence of intervention, such as when estimating achievement gaps. However, despite extensive research dating back to the paired t-test literature showing that such growth effect sizes should account for within-person correlations of scores over time, such achievement gains are often standardized relative to the standard deviation from a single timepoint or two timepoints pooled. Such a tendency likely occurs in part because there are not many large datasets from which a distribution of student- or school-level gains can be derived. In this study, we present a novel model for estimating student growth in conjunction with a national dataset to show that effect size estimates for student and school growth are often quite different when standardized relative to a distribution of gains rather than static achievement. In particular, we provide nationally representative empirical benchmarks for student achievement and gains, including for male-female gaps in those gains, and examine the sensitivity of those effect sizes to how they are standardized. Our results suggest that effect sizes scaled relative to a distribution of gains are less likely to understate the effects of interventions over time, and that resultant effect sizes often more closely match the estimand of interest for most practice, policy, and evaluation questions.
Despite broad public interest in Veterans' education, there is relatively little evidence documenting the postsecondary trajectories of military service members after they return to civilian life. In the current report we investigate how U.S. Army service member college enrollment and progression trends compare to a similar population of civilians, using Army administrative personnel data merged with administrative records from the National Student Clearinghouse and the Educational Longitudinal Study (ELS) of 2002. Civilians were nearly three times as likely to enroll in college within one year of high school graduation (or one year of separation). Civilians were also much more likely to earn a bachelor’s degree within the period of study than either of the Army samples. While members of minority race/ethnicity groups in both military samples enroll at higher rates than their white counterparts, racial/ethnic minorities do not graduate at higher rates than their white counterparts. We discuss policy implications of our analyses in the final section of our paper.
This study explores student discipline disparities by race (black/white) and family income. First, we decompose gaps across districts, across schools in the same district, and within schools. Second, we assess disparities using regression models. Third, we examine punishments for fights between black and white or poor and non-poor students. We find that black and poor students are disciplined more often and harshly than their peers, with disparities arising across districts, across schools, and within schools. Moreover, black and poor students tend to receive slightly longer suspensions after getting into fights with white and non-poor peers, suggesting at least some degree of discriminatory punishment.
This phenomenological study draws on semi-structured interviews with 27 Black male teachers across 14 schools in an urban school district—seven schools with three or more Black male teachers and seven schools with one Black male teacher. Consistent with theories about teacher turnover, findings indicate a relationship between organizational characteristics, reasons participants cited for leaving, and participants’ actual decisions to stay or leave.