Unpacking the Placement of American Indian and Alaska Native Students in Special Education Programs and Services in the Early Grades: School Readiness as a Predictive Variable
Abstract:In this article, Jacob Hibel, Susan Faircloth, and George Farkas investigate the persistent finding that American Indian and Alaska Native (AI/AN) students are overrepresented in special education. Using data from the kindergarten cohort of the Early Childhood Longitudinal Study, the authors compare the third-grade special education placement rate of AI/AN students to that of other racial/ethnic groups. They find that approximately 15 percent of AI/AN third-graders received special education services, a rate f… Show more
“…Unlike the Asian American population, Native American students are overrepresented in special education nationally (Dauphinais & King, 1992;Hibel, Faircloth, & Farkas, 2008;Marks, Lemley, & Wood, 2010). This group also suffers from environmental deprivation (Vraniak, 1994), high rates of suicide (CDC, 2007), and high rates of school dropout (Sparks, 2000).…”
Section: Structural Bias Research Among Asian American and Native Amementioning
confidence: 99%
“…Thus far, such efforts to understand the respective roles that social, cultural, and linguistic factors have on the normative development of Native American children have identified English language skills (Beiser & Gotowiec, 2000;Dauphinais & King, 1992;Tsethlikai, 2011), cultural practices (Dauphinais & King, 1992;Tsethlikai, 2011), and school readiness (Hibel et al, 2008) as factors contributing to the educational experiences of Native American children.…”
i ABSTRACTThe Native American population is severely underrepresented in empirical test validity research despite being overrepresented in special education programs and at an increased risk for special educational evaluation. This study is the first to investigate the structural validity of the Wechsler Intelligence Scale for Children -Fourth Edition (WISC-IV) with a Native American sample. The structural validity of the WISC-IV was investigated using the core subtest scores of 176, six-to-sixteen-year-old Native American children referred for a psychoeducational evaluation. The exploratory factor analysis procedures reported in the WISC-IV technical manual were replicated with the current sample. Congruence coefficients were used to measure the similarity between the derived factor structure and the normative factor structure. The Schmid-Leiman orthogonalization procedure was used to study the role of the higher-order general ability factor. Results support the structural validity of the first-order and higherorder factors of the WISC-IV within this sample. The normative first-order factor structure was replicated in this sample, and the Schmid-Leiman procedure identified a higher-order general ability factor that accounted for the greatest amount of common variance (70%) and total variance (37%). The results support the structural validity of the WISC-IV within a referred Native American sample.
“…Unlike the Asian American population, Native American students are overrepresented in special education nationally (Dauphinais & King, 1992;Hibel, Faircloth, & Farkas, 2008;Marks, Lemley, & Wood, 2010). This group also suffers from environmental deprivation (Vraniak, 1994), high rates of suicide (CDC, 2007), and high rates of school dropout (Sparks, 2000).…”
Section: Structural Bias Research Among Asian American and Native Amementioning
confidence: 99%
“…Thus far, such efforts to understand the respective roles that social, cultural, and linguistic factors have on the normative development of Native American children have identified English language skills (Beiser & Gotowiec, 2000;Dauphinais & King, 1992;Tsethlikai, 2011), cultural practices (Dauphinais & King, 1992;Tsethlikai, 2011), and school readiness (Hibel et al, 2008) as factors contributing to the educational experiences of Native American children.…”
i ABSTRACTThe Native American population is severely underrepresented in empirical test validity research despite being overrepresented in special education programs and at an increased risk for special educational evaluation. This study is the first to investigate the structural validity of the Wechsler Intelligence Scale for Children -Fourth Edition (WISC-IV) with a Native American sample. The structural validity of the WISC-IV was investigated using the core subtest scores of 176, six-to-sixteen-year-old Native American children referred for a psychoeducational evaluation. The exploratory factor analysis procedures reported in the WISC-IV technical manual were replicated with the current sample. Congruence coefficients were used to measure the similarity between the derived factor structure and the normative factor structure. The Schmid-Leiman orthogonalization procedure was used to study the role of the higher-order general ability factor. Results support the structural validity of the first-order and higherorder factors of the WISC-IV within this sample. The normative first-order factor structure was replicated in this sample, and the Schmid-Leiman procedure identified a higher-order general ability factor that accounted for the greatest amount of common variance (70%) and total variance (37%). The results support the structural validity of the WISC-IV within a referred Native American sample.
“…However, (Hibel, Faircloth, and Farkas (2008) found that, after controlling for socioeconomic status and characteristics of the school, there were no significant differences in the special education placement rates of American Indian and Alaska Native students with that of non-Hispanic White students. The strongest predictor in this study that used a large US database was students' reading and numeracy skills on entry to school.…”
The extent to which school students continue to receive special education services over time is largely unknown because longitudinal studies are rare in this area. The present study examined a large Australian longitudinal database to track the status of children who received special education support in 2006 and whether they continued to access such support over a 4-year period. Nearly two thirds of the children receiving additional assistance in 2006 did not receive such assistance 4 years later. There were substantial variations in the principal reason for providing special education services to students over this period, and the relative academic performance of the students who received special education support across the 4 years substantially declined. The findings have ramifications for the way we consider changes in the needs of young children as they progress through the primary school system.
“…Although AI/AN students were not oversampled in these data sets, they are included in sufficient numbers to allow for statistical analysis. For example, using data from the ECLS-K (1998-1999), Hibel, Faircloth, and Farkas (2008) found that AI/AN students' referral and placement into special education could be predicted in kindergarten, based in large part on these children' s scores on standardized achievement tests in reading and math. This analysis indicated that those students who performed poorly on the selected achievement tests were more likely to receive special education services in the early grades.…”
Section: Large-scale National Education Data Setsmentioning
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