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Shifrer D, Appleton CJ. Delineating Differences in How US High Schools are Racialized. YOUTH & SOCIETY 2024; 56:67-93. [PMID: 38031534 PMCID: PMC10683935 DOI: 10.1177/0044118x221138878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Abstract
Schools' overt or explicit practices are a dominant lens through which education researchers and policymakers attempt to understand how schools are racially inequitable. Yet, Lewis and Diamond argue that contemporary racial inequalities are largely sustained through implicit factors, like institutional practices and structural inequalities. Ray's framework on racialized organizations similarly outlines how our racialized sociopolitical structure becomes embedded in organizations, legitimating and perpetuating the racialized hierarchy. We apply illustrative cluster analysis techniques to rich data on schools, teachers, and students from the nationally representative High School Longitudinal Study of 2009 to find that structural inequities (e.g., student body, sector, average achievement) appear to be most salient in delineating the racialization of US high schools, whereas the characteristics of schools and teachers that are typically emphasized for closing racial inequities in educational outcomes (e.g., teacher qualifications, courses offered, stratification practices) are not salient differentiators across schools.
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Walsemann KM, Kerr EM, Ailshire JA, Herd P. Black-White variation in the relationship between early educational experiences and trajectories of cognitive function among US-born older adults. SSM Popul Health 2022; 19:101184. [PMID: 35958228 PMCID: PMC9358471 DOI: 10.1016/j.ssmph.2022.101184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 06/28/2022] [Accepted: 07/22/2022] [Indexed: 11/21/2022] Open
Abstract
Black adults face a substantially higher risk for dementia in later life compared to their White peers. Given the critical role of educational attainment and cognitive function in later life dementia risk, this paper aims to determine if early educational experiences and educational attainment are differentially related to trajectories of cognitive status across race and if this further varies by education cohort. We use data from the Life History Mail Survey (LHMS) and prospective data on cognition from the Health and Retirement Study (HRS). We restrict our sample to Black and White US-born adults who provided at least one measure of cognitive status from 1995/6-2016. We find evidence of Black-White differences in the association between educational experiences and level of cognitive function, episodic memory, and working memory, but little evidence of Black-White differences in these associations with decline. Having a learning problem was associated with lower levels of cognitive function, episodic memory, and working memory for White and Black older adults, but was more strongly related to these outcomes among Black older adults. Further, the Black-White difference in this association was generally found in older cohorts that completed schooling after enactment of federal policies that improved educational resources for children with learning disabilities. Attending racially discordant schools was positively associated with level of these cognitive outcomes for Black older adults but not for White older adults. We also find that the educational gradient in level of cognitive function was larger for Black compared to White older adults in older cohorts not benefiting from the Brown v Board of Education decision but was similar for Black and White older adults attending school in the post-Brown era.
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Affiliation(s)
- Katrina M. Walsemann
- University of Maryland, School of Public Policy & Maryland Population Research Center, USA
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Fish RE. Stratified medicalization of schooling difficulties. Soc Sci Med 2022; 305:115039. [PMID: 35633599 DOI: 10.1016/j.socscimed.2022.115039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 05/06/2022] [Accepted: 05/12/2022] [Indexed: 11/18/2022]
Abstract
Medicalization is a central topic of concern in the sociology of disability and of health and illness. In this paper, I examine how medicalization is inequitably applied and circulates in the context of schools, specifically in serving students with educational disabilities. My aim is to advance understandings of medicalization through this case. Using a mixed-methods design, I first show, descriptively, how race and gender intersectionally predict educational disability status in a dataset of all Wisconsin public school students. Next, I examine how racial and gender disparities in disability status are produced at the micro level, using interviews with 27 Wisconsin teachers, including in-depth discussions of 73 individual students that were struggling academically or behaviorally. My quantitative findings show variation by race, gender, and disability category: White children have higher probability of special education receipt than comparable children of color for academic difficulties, but lower probability for behavioral difficulties, and girls have lower probability than comparable boys overall. My interview data suggest that these disparate outcomes reflect stratified medicalization processes, in which institutional constraints, status beliefs, and cultural discourses of race and gender shape both stratified noticing of schooling difficulties and stratified interpretation of those difficulties as medicalized conditions.
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Bergey M, Chiri G, Freeman NLB, Mackie TI. Mapping mental health inequalities: The intersecting effects of gender, race, class, and ethnicity on ADHD diagnosis. SOCIOLOGY OF HEALTH & ILLNESS 2022; 44:604-623. [PMID: 35147240 DOI: 10.1111/1467-9566.13443] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 01/04/2022] [Accepted: 01/17/2022] [Indexed: 06/14/2023]
Abstract
While the effects of social stratification by gender, race, class, and ethnicity on health inequalities are well-documented, our understanding of the intersecting consequences of these social dimensions on diagnosis remains limited. This is particularly the case in studies of mental health, where "paradoxical" patterns of stratification have been identified. Using a Bayesian multi-level random-effects Poisson model and a nationally representative random sample of 138,009 households from the National Survey of Children's Health, this study updates and extends the literature on mental health inequalities through an intersectional investigation of one of the most commonly diagnosed psychiatric conditions of childhood/adolescence: attention-deficit hyperactivity disorder (ADHD). Findings indicate that gender, race, class, and ethnicity combine in mutually constitutive ways to explain between-group variation in ADHD diagnosis. Observed effects underscore the importance and feasibility of an intersectional, multi-level modelling approach and data mapping technique to advance our understanding of social subgroups more/less likely to be diagnosed with mental health conditions.
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Affiliation(s)
- Meredith Bergey
- Department of Sociology and Criminology, Villanova University, Villanova, Pennsylvania, USA
| | - Giuseppina Chiri
- RTI International, Center for the Health of Populations, Waltham, Massachusetts, USA
| | - Nikki L B Freeman
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Thomas I Mackie
- Department of Health Policy and Management, School of Public Health, State University of New York (SUNY) Downstate Health Sciences University, Brooklyn, New York, USA
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Geven S, Wiborg ØN, Fish RE, van de Werfhorst HG. How teachers form educational expectations for students: A comparative factorial survey experiment in three institutional contexts. SOCIAL SCIENCE RESEARCH 2021; 100:102599. [PMID: 34627552 DOI: 10.1016/j.ssresearch.2021.102599] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 06/22/2021] [Accepted: 06/23/2021] [Indexed: 06/13/2023]
Abstract
While schools are thought to use meritocratic criteria when evaluating students, research indicates that teachers hold lower expectations for students from disadvantaged backgrounds. However, it is unclear what the unique impact is of specific student traits on teacher expectations, as different traits are often correlated to one another in real life. Moreover, research has neglected the role of the institutional context, yet tracking procedures, financial barriers to education, and institutionalized cultural beliefs may influence how teachers form expectations. We conducted a factorial survey experiment in three contexts that vary with respect to these institutional characteristics (The United States, New York City; Norway, Oslo; the Netherlands, Amsterdam). We asked elementary school teachers to express expectations for hypothetical students whose characteristics were experimentally manipulated. Teachers in the different contexts used the same student traits when forming expectations, yet varied in the importance they attached to these traits. In Amsterdam - where teachers track students on the basis of their performance and tracking bears significant consequences for educational careers - we found a large impact of student performance. In Oslo - where institutions show an explicit commitment to equality of educational opportunity - teachers based their expectations less on student effort, and seemed to make more inferences about student performance by a student's socio-economic background. New York teachers seemed to make few inferences about student performance based on their socio-economic background.
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Affiliation(s)
- Sara Geven
- Department of Sociology / Amsterdam Centre for Inequality Studies, University of Amsterdam, Amsterdam, the Netherlands.
| | - Øyvind N Wiborg
- Department of Sociology and Human Geography, University of Oslo, Oslo, Norway; Centre for the Study of Professions, Oslo Metropolitan University, Oslo, Norway
| | - Rachel E Fish
- Department of Teaching and Learning, New York University, New York, USA
| | - Herman G van de Werfhorst
- Department of Sociology / Amsterdam Centre for Inequality Studies, University of Amsterdam, Amsterdam, the Netherlands
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Chiam M, Rojas E, Bergey MR, Mackie TI. The Effect of Medical Home on Shared Decision-Making for Caregivers of Children with Emotional, Developmental, or Behavioral Health Conditions. Matern Child Health J 2021; 25:1285-1295. [PMID: 33942231 DOI: 10.1007/s10995-021-03148-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Known as the "pinnacle of patient-centered care," shared decision-making (SDM) is the process that enables and encourages the health care provider, the patient, and/or their caregiver (parent or guardian) to participate collaboratively in medical decisions. Prior research indicates that children with emotional, developmental, or behavioral health conditions (EDB) are less likely to attain SDM than children with other special health care needs (SHCNs). This study investigates whether the presence of a medical home reduces disparities in SDM among children with EDB when compared to children with other SHCNs and the general pediatric population. METHODS Using the 2016 National Survey of Children's Health, we conducted weighted descriptive statistics to investigate the prevalence of medical home and SDM for children with (1) EDB, (2) other SHCNs, and (3) no SHCNs. We then employed a nested multivariate logistic regression model to examine whether the presence of a medical home reduced the disparity between children with EDB and their counterparts. RESULTS Nationally, 21% of children with EDB (n = 647,274), 14.0% of children with other SHCNs (n = 1,086,068), and 13% of children with no SHCNs (n = 883,969) did not attain caregiver-reported SDM in medical care. In each of the health condition groups, the presence of a medical home significantly improved the odds of SDM (p < 0.001). Presence of a medical home also reduced the disparities observed in caregiver-reported SDM among children with EDB as compared to those with other SHCNs and no SHCNs. DISCUSSION Ongoing investment in medical homes may reduce disparities in SDM experienced by children with EDB.
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Affiliation(s)
| | - Erick Rojas
- Institute for Health, Health Care Policy and Aging Research, Rutgers, the State University of New Jersey, 112 Paterson St, New Brunswick, NJ, 08901, USA
| | - Meredith R Bergey
- Department of Sociology and Criminology, Villanova University, 800 Lancaster Ave., Villanova, PA, 19085, USA
| | - Thomas I Mackie
- Department of Health Behavior, Society, and Policy, Rutgers School of Public Health, 683 Hoes Lane, Piscataway, NJ, 08854, USA.
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Shifrer D. Clarifying the Social Roots of the Disproportionate Classification of Racial Minorities and Males with Learning Disabilities. THE SOCIOLOGICAL QUARTERLY 2018; 59:384-406. [PMID: 30853723 PMCID: PMC6402355 DOI: 10.1080/00380253.2018.1479198] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
The disproportionate placement of racial minorities and males into special education for learning disabilities (LDs) raises concerns that classifications occur inaccurately or inequitably. This study uses data from the Education Longitudinal Survey of 2002 to investigate the social etiology of LD classifications that persist into adolescence. Findings suggest the overclassification of racial minorities is largely consistent with (clinically relevant) differences in educational performance. Classifications may occur inconsistently or subjectively, with clinically irrelevant qualities like school characteristics and linguistic- immigration history independently predictive of disability classification. Finally, classifications may be partially biased, with male overclassification largely unexplained by this study's measures and racial minorities' risk of classification increased in schools with fewer minorities (the latter not statistically significant).
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Affiliation(s)
- Dara Shifrer
- Department of Sociology, Portland State University, Portland, Oregon, USA
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Preservice teachers’ racialized emotion recognition, anger bias, and hostility attributions. CONTEMPORARY EDUCATIONAL PSYCHOLOGY 2018. [DOI: 10.1016/j.cedpsych.2018.06.004] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Naser S, Hitti A, Overstreet S. The Behavioral and Emotional Screening System Student Form: Is There Evidence of a Global At-Risk Factor in a Sample of Predominantly African American Youth? JOURNAL OF PSYCHOEDUCATIONAL ASSESSMENT 2017. [DOI: 10.1177/0734282916686015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
School-based universal screening for behavioral and emotional risk can serve as a foundation for effective multi-tiered service delivery systems. The current study examines the measurement and structure of one such universal screener, the Behavioral and Emotional Screening System Student Form (BESS SF). Four models were investigated including a unidimensional model, a multidimensional model, a second-order model, and a bifactor model. This study is the first to use a bifactor model in examining the structure of the BESS SF, and further adds to the literature by using bifactor modeling with a predominantly low-income, urban, African American sample. Results indicate that the bifactor model provided the best fit. Practically, results support interpretation of the global risk score as well as the domain-specific factors.
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