We examined the risk of disability identification associated with individual and school variables. The sample included 18,000 students in 39 schools of an urban K-12 school system. Descriptive analysis showed racial minority risk varied across 7 disability categories, with males and students from low-income backgrounds at highest risk in most disability categories. Multilevel analyses showed that school variables were not generally significant predictors of student risk for identification. The most consistent predictors of identification across the categories were students' gender, race, socioeconomic status, and number of suspensions. We provide implications for future studies of disparities in special education, as well as practice related to identification and systemic monitoring.
Racial minority youth are disproportionally removed from their learning environment due to school discipline and placed in special education for emotional disturbance. These disparities continue to trouble families, educators, and policy makers, particularly within urban schools. Yet there is a paucity of research on how behavioral outcome disparities occur in different states. This study addresses this gap examining the extent and predictors of behavioral outcome disparities in Wisconsin. Using the entire state’s data, we conducted multilevel logistic regression analyses. The analyses showed that African American students were seven times and Native American and Latino students were two times more likely to receive exclusionary discipline. African American students and Native American students were two to three times more likely to be labeled as emotionally disturbed. Students’ race, gender, income, language, attendance, and academic proficiency were related to outcome disparities while school characteristics were not substantively meaningful predictors, excepting the percentage of transferred students. Implications for future research and practice are discussed.
Researchers and practitioners have struggled to promote optimal academic, behavioral, and postschool outcomes for historically marginalized youth from culturally and linguistically diverse backgrounds. While there is a growing body of evidence-based interventions in special education, the extent to which these interventions are culturally responsive remains unexplored. Culturally responsive research (CRR) has gained increased attention in social sciences. The authors developed a 15-item rubric to evaluate the cultural responsiveness of research. They applied the rubric to six studies in transition education identified as high-quality intervention studies to determine the extent to which these met the criteria for CRR. Results from this analysis demonstrated that while none of the studies were indicative of CRR across all rubric items, strengths in question relevancy, sampling, participant description, and data collection strategies were noted.
This study identified post-traumatic stress disorder (PTSD) symptom clusters in Turkish children and adolescents who experienced the 1999 Marmara Earthquake, which was classified as one of the world's six deadliest earthquakes in the 20th century. Two hundred ninety three children and adolescents (152 females and 141 males between the ages of 8 and 15) living in Izmit, the epicenter of the earthquake, participated in this study. The Post-Traumatic Stress Disorder Reaction Index for Children (CPTSD-RI) was administered to assess PTSD symptoms. A confirmatory factor analysis (CFA), using data from the CPTSD-RI, was conducted to determine whether the DSM-IV-TR symptom structure of PTSD was valid in Turkish children and adolescents. The CFA model supported the three-symptom cluster model. Limitations and implications for future research studies are included in the discussion.
Youth from racially minoritized communities disproportionately receive exclusionary school discipline more severely and frequently. The racialization of school discipline has been linked to long-term deleterious impacts on students’ academic and life outcomes. In this article, we present a formative intervention, Learning Lab that addressed racial disparities in school discipline at a public high school. Learning Lab successfully united local stakeholders, specifically those who had been historically excluded from the school’s decision-making activities. Learning Lab members engaged in historical and empirical root cause analyses, mapped out their existing discipline system, and designed a culturally responsive schoolwide behavioral support model in response to diverse experiences, resources, practices, needs, and goals of local stakeholders. Analysis drew on the theory of expansive learning to examine how the Learning Lab process worked through expansive learning actions. Implications for research and practice are discussed.
The study investigated the emergence of post‐traumatic stress disorder (PTSD) symptoms in child and adolescent survivors in Turkey three years after the 1999 Marmara Earthquake, with consideration of the severity of exposure and the survivors' gender and age. A representative sample of 293 young earthquake survivors (152 female and 141 male between the ages of 8 and 15) participated in the study. Participants' scores on the Post‐Traumatic Stress Disorder Reaction Index for Children indicated that 31.4% reported moderate, 24.2% reported severe, and 3.8% reported very severe traumatic stress reactions. Analysis of the Revised Impact of Events Scale for Children scores revealed that 56% reported severe PTSD symptoms. While severity of exposure and gender were significantly associated with severity of PTSD symptoms, age was not related to PTSD symptoms. The results indicated a high need for addressing the mental health problems of the child and adolescent trauma survivors in Turkey.
The disproportionate representation of students from culturally and linguistically diverse backgrounds in special education programs is a complex issue that has long troubled practitioners, educational leaders, and researchers. This article reports on a mixed-method collaborative case analysis that examined local patterns of disproportionality in an urban school district and the district's systemic transformation effort to address disproportionality. In a close collaboration with the district's special education leadership team, we utilized student-level quantitative data from 2006 through 2010 to examine temporal patterns of disproportionality along with qualitative data on the leadership team's perceptions and actions. Our analyses showed that risk of overidentification was greatest for African American, American Indian, low-income, and male students. The study illustrates a method of collaborative analysis and the importance of such analyses for understanding and addressing variously localized patterns of disproportionality. The findings contribute to the literature on disproportionality and inform systemic change efforts in diverse sociocultural contexts of urban school districts.
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