Forthcoming, The Elementary School Journal *** Students of color are significantly underrepresented in gifted programs relative to their white peers. Drawing on political science research suggesting that public organizations more equitably distribute policy outputs when service providers share characteristics with their client populations, we investigate whether the representation of students of color in gifted programs is higher in schools with racially/ethnically diverse teachers and principals. In a nationally representative sample of elementary schools created by merging two waves of data from the Civil Rights Data Collection and the Schools and Staffing Survey, we find that schools with larger numbers of black teachers or a black principal have greater representation of black students in their gifted programs. We find a similar relationship for Hispanic teachers and representation of Hispanic students. Further evidence suggests that a critical mass of teachers of color is necessary for teacher race/ethnicity to be associated with higher representation of students of color in gifted programs. *** Since at least the late 1960s, research has consistently documented the substantial underrepresentation of students of color in gifted programs (Ford, 1998). Recent data show, for example, that black students are only 59% as likely to receive gifted services as would be predicted if their gifted participation was proportionate to their presence in the broader student population. 1 To receive gifted services, students must go through multiple steps, including identification as potentially gifted, referral for evaluation, and the evaluation itself, and research suggests that students of color are less likely to pass through each of these stages than their white peers (McBee, 2006; National Research Council, 2002). Reasons for these disparities are complex but likely include unequal teacher perceptions of student giftedness across student groups (Ford, Grantham, &
The linear independence of the edge-connectivity index to other first-, second-, and third-generation topological indices is demonstrated by using principal component analysis for octane isomers. Most of the topological indices are loaded in one factor, while the edge connectivity is loaded in another independent factor. The edge-connectivity index does not produce linear correlations (R ≤ 0.7) with any of the almost 40 topological indices studied. This index produced the best single-variable quantitative structure−property relationship (QSPR) models for five of the seven physicochemical properties of octanes studied. It is concluded that the edge connectivity is an independent index containing important structural information to be used in QSPR/QSAR (QSAR = quantitative structure−activity relationship) studies.
We report findings from a quasi-experimental evaluation of the recently implemented US$5,000 retention bonus program for effective teachers in Tennessee’s Priority Schools. We estimate the impact of the program on teacher retention using a fuzzy regression discontinuity design by exploiting a discontinuity in the probability of treatment conditional on the composite teacher effectiveness rating that assigns bonus eligibility. Point estimates for the main effect of the bonus are not different from zero. However, for teachers of tested subjects and grades, the program has a consistently positive effect that is both statistically and substantively significant. We hypothesize that the null finding for the main effect is driven by teachers of untested subjects and grades given the amount of weight Tennessee’s teacher evaluation system attributes to school-level performance. This creates a strong incentive to exit the Priority Schools that are by definition low performing. Implementation concerns, including the timing of application process and observed noncompliance in bonus distribution, present obstacles for both the program’s effectiveness and its evaluation.
Bureaucratic representation—the idea that a governmental organization is better situated to serve its clients when its employee composition reflects that of its client population—has received considerable scholarly attention in the study of public institutions in the fields of political science and public administration. In a wide variety of settings, this research has demonstrated important connections between the racial, ethnic, and gender composition of the public sector workforce and how different groups—particularly traditionally underserved groups—interact with street-level bureaucrats and benefit from public services. Although scholars in those fields long ago recognized that the public school system is a large bureaucracy with diverse street-level bureaucrats (teachers) and clients (students and parents) and thus began studying bureaucratic representation in the context of schools, the concept and the causal mechanisms it hypothesizes remain largely unfamiliar to education researchers. This article synthesizes the main ideas from the bureaucratic representation literature and demonstrates their applicability to schooling outcomes—including discipline, gifted assignment, special education, and student achievement—with the goal of opening up new avenues for education research into the mechanisms linking demographic similarity among educators and students to schooling outputs and outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.