Identifying Racial and Socioeconomic Biases in New Jersey Special Education Eligibility

References

• American Psychological Association Task Force on Socioeconomic Status. (2007). Report of the APA Task Force on Socioeconomic Status. American Psychological Association. https://www.apa.org/pi/ses/resources/publications/task-force-2006.pdf
  Google Scholar
• Anderson, R. E. (2018). And still WE rise: Parent–child relationships, resilience, and school readiness in low-income urban Black families.Journal of Family Psychology, 32(1), 60–70. https://doi.org/10.1037/fam0000348
  CrossrefMedlineGoogle Scholar
• Attig, M., & Weinert, S. (2020). What impacts early language skills? Effects of social disparities and different process characteristics of the home learning environment in the first 2 years.Frontiers in Psychology, 11, 557751. https://doi.org/10.3389/fpsyg.2020.557751
  CrossrefMedlineGoogle Scholar
• Barragan, B., Castilla-Earls, A., Martinez-Nieto, L., Restrepo, M. A., & Gray, S. (2018). Performance of low-income dual language learners attending English-only schools on the Clinical Evaluation of Language Fundamentals–Fourth Edition, Spanish.Language, Speech, and Hearing Services in Schools, 49(2), 292–305. https://doi.org/10.1044/2017_LSHSS-17-0013
  ASHAWireGoogle Scholar
• Bauman, K. J. (1998). Schools, markets, and family in the history of African-American education.American Journal of Education, 106(4), 500–531. https://doi.org/10.1086/444196
  CrossrefGoogle Scholar
• Brown v. Board of Education, 347 U.S. 483. (1954). https://www.oyez.org/cases/1940-1955/347us483
  Google Scholar
• Bui, Q. (2014, October16). Most common jobs for the rich, middle class, and poor.National Public Radio. https://www.npr.org/sections/money/2014/10/16/356176018/the-most-popular-jobs-for-the-rich-middle-class-and-poor
  Google Scholar
• Campbell, T., Dollaghan, C., Needleman, H., & Janosky, J. (1997). Reducing bias in language assessment: Processing-dependent measures.Journal of Speech, Language, and Hearing Research, 40(3), 519–525. https://doi.org/10.1044/jslhr.4003.519
  ASHAWireGoogle Scholar
• Chung, Y., & Maguire-Jack, K. (2020). Understanding movement into poverty and poverty persistence over time.Journal of Poverty, 24(3), 241–255. https://doi.org/10.1080/10875549.2019.1692271
  CrossrefGoogle Scholar
• Crawford, C., Goodman, A., & Joyce, R. (2011). Explaining the socio-economic gradient in child outcomes: The inter-generational transmission of cognitive skills.Longitudinal and Life Course Studies, 2(1), 77–93. https://doi.org/10.14301/llcs.v2i1.143
  Google Scholar
• D'Auria, J. D. (1998). An assessment of learning disabilities teacher consultant role functions [Master's thesis, Rowan University]. Rowan Digital Works. https://rdw.rowan.edu/cgi/viewcontent.cgi?article=2937&context=etd
  Google Scholar
• De Lamo White, C., & Jin, L. (2011). Evaluation of speech and language assessment approaches with bilingual children.International Journal of Language & Communication Disorders, 46(6), 613–627. https://doi.org/10.1111/j.1460-6984.2011.00049.x
  CrossrefMedlineGoogle Scholar
• De Valenzuela, J. S., Copeland, S. R., Qi, C. H., & Park, M. (2006). Examining educational equity: Revisiting the disproportionate representation of minority students in special education.Exceptional Children, 72(4), 425–441. https://doi.org/10.1177/001440290607200403
  CrossrefGoogle Scholar
• Dudley-Marling, C., & Lucas, K. (2009). Pathologizing the language and culture of poor children.Language Arts, 86(5), 362–370. https://www.jstor.org/stable/41483561
  Google Scholar
• Eberhardt, P., Wial, H., & Yee, D. (2020). The new face of under-resourced communities. Initiative for a Competitive Inner City. https://doi.org/10.2139/ssrn.3796471
  CrossrefGoogle Scholar
• Faber, J. W. (2020). We built this: Consequences of New Deal era intervention in America's racial geography.American Sociological Review, 85(5), 739–775. https://doi.org/10.1177/0003122420948464
  CrossrefGoogle Scholar
• Fazio, B. B., Naremore, R. C., & Connell, P. J. (1996). Tracking children from poverty at risk for specific language impairment: A 3-year longitudinal study.Journal of Speech and Hearing Research, 39(3), 611–624. https://doi.org/10.1044/jshr.3903.611
  ASHAWireGoogle Scholar
• Feeding America. (n.d.). National School Lunch Program. https://www.fns.usda.gov/nslp
  Google Scholar
• Fergus, E., Noguera, P., & Martin, M. (2014). Schooling for resilience: Improving the life trajectory of Black and Latino boys. Harvard Education Press.
  Google Scholar
• Franklin, K., & Grossman, F. M. (1990). Bias effects of socioeconomic status and sex in decision making in speech-language pathology.Journal of Speech and Hearing Disorders, 55(1), 82–89. https://doi.org/10.1044/jshd.5501.82
  ASHAWireGoogle Scholar
• Fryer, R. G., & Levitt, S. D. (2004). The causes and consequences of distinctively black names.The Quarterly Journal of Economics, 119(3), 767–805. https://doi.org/10.1162/0033553041502180
  CrossrefGoogle Scholar
• Fulcher-Rood, K., Castilla-Earls, A., & Higginbotham, J. (2019). Diagnostic decisions in child language assessment: Findings from a case review assessment task.Language, Speech, and Hearing Services in Schools, 50(3), 385–398. https://doi.org/10.1044/2019_LSHSS-18-0044
  ASHAWireGoogle Scholar
• Gaddis, S. M. (2017). How Black are Lakisha and Jamal? Racial perceptions from names used in correspondence audit studies.Sociological Science, 4(19), 469–489. https://doi.org/10.15195/v4.a19
  CrossrefGoogle Scholar
• Gilkerson, J., Richards, J. A., Warren, S. F., Montgomery, J. K., Greenwood, C. R., Kimbrough, O. D., Hansen, J. H. L., & Paul, T. D. (2017). Mapping the early language environment using all-day recordings and automated analysis.American Journal of Speech-Language Pathology, 26(2), 248–265. https://doi.org/10.1044/2016_AJSLP-15-0169
  ASHAWireGoogle Scholar
• Gorski, P. (2008a). The myth of the “culture of poverty.”.Poverty and Learning, 65(7), 32–36. https://www.ascd.org/el/articles/the-myth-of-the-culture-of-poverty
  Google Scholar
• Gorski, P. C. (2008b). Peddling poverty for profit: Elements of oppression in Ruby Payne's framework.Equity & Excellence in Education, 41(1), 130–148. https://doi.org/10.1080/10665680701761854
  CrossrefGoogle Scholar
• Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The implicit association test.Journal of Personality and Social Psychology, 74(6), 1464–1480. https://doi.org/10.1037//0022-3514.74.6.1464
  CrossrefMedlineGoogle Scholar
• Greenwald, A. G., Poehlman, T. A., Uhlmann, E. L., & Banaji, M. R. (2009). Understanding and using the Implicit Association Test: III. Meta-analysis of predictive validity.Journal of Personality and Social Psychology, 97(1), 17–41. https://doi.org/10.1037/a0015575
  CrossrefMedlineGoogle Scholar
• Grindal, T., Schifter, L. A., Schwartz, G., & Hehir, T. (2019). Racial differences in special education identification and placement: Evidence across three states.Harvard Educational Review, 89(4), 525–553. https://doi.org/10.17763/1943-5045-89.4.525
  CrossrefGoogle Scholar
• Harber, K. D., Gorman, J. L., Gengaro, F. P., Butisingh, S., Tsang, W., & Ouellette, R. (2012). Students' race and teachers' social support affect the positive feedback bias in public schools.Journal of Educational Psychology, 104(4), 1149–1161. https://doi.org/10.1037/a0028110
  CrossrefGoogle Scholar
• Hart, B., & Risley, T. R. (1995). Meaningful differences in the everyday experience of young American children. Brookes.
  Google Scholar
• Harwell, M., & LeBeau, B. (2010). Student eligibility for a free lunch as an SES measure in education research.Educational Researcher, 39(2), 120–131. https://doi.org/10.3102/0013189X10362578
  CrossrefGoogle Scholar
• Hill, S. A., & Sprague, J. (1999). Parenting in Black and White families: The interaction of gender with race and class.Gender & Society, 13(4), 480–502. https://doi.org/10.1177/089124399013004004
  CrossrefGoogle Scholar
• Individuals with Disabilities Education Act of 2004, Pub. L. No. 101–476, § 300.101, 300.114, 300.304, 300.8. (2004).
  Google Scholar
• Inglebret, E., Bailey, S., Clothiaux, J. A., Skinder-Meredith, A., Monson, K., & Cleveland, L. (2017). Reporting of socioeconomic status in pediatric language research.American Journal of Speech-Language Pathology, 26(3), 1042–1052. https://doi.org/10.1044/2017_AJSLP-16-0229
  ASHAWireGoogle Scholar
• Justice, L. M., Jiang, H., Bates, R., & Koury, A. (2020). Language disparities related to maternal education emerge by two years in a low-income sample.Maternal and Child Health Journal, 24(11), 1419–1427. https://doi.org/10.1007/s10995-020-02973-9
  CrossrefMedlineGoogle Scholar
• Karem, R. W., & Washington, K. N. (2021). The cultural and diagnostic appropriateness of standardized assessments for dual language learners: A focus on Jamaican preschoolers.Language, Speech, and Hearing Services in Schools, 52(3), 807–826. https://doi.org/10.1044/2021_LSHSS-20-00106
  ASHAWireGoogle Scholar
• Khanam, R., & Nghiem, S. (2016). Family income and child cognitive and noncognitive development in Australia: Does money matter?.Demography, 53(3), 597–621. https://doi.org/10.1007/s13524-016-0466-x
  CrossrefMedlineGoogle Scholar
• Kuchirko, Y. (2017). On differences and deficits: A critique of the theoretical and methodological underpinnings of the word gap.Journal of Early Childhood Literacy, 19(4), 533–562. https://doi.org/10.1177/1468798417747029
  CrossrefGoogle Scholar
• Larry P. v. Riles, 495 F. Supp. 926 (N.D. Cal. 1979). 495 Federal supplement 926. https://law.justia.com/cases/federal/district-courts/FSupp/495/926/2007878/
  Google Scholar
• Lee, R., & Oetting, J. B. (2014). Zero marking of past tense in child African American English.SIG 1 Perspectives on Language Learning and Education, 21(4), 173–181. https://doi.org/10.1044/lle21.4.173
  ASHAWireGoogle Scholar
• Levitt, S. D., & Dubner, S. K. (2006). Freakonomics. Harper Trophy.
  Google Scholar
• Leys, C., & Schumann, S. (2010). A nonparametric method to analyze interactions: The adjusted rank transform test.Journal of Experimental Social Psychology, 46(4), 684–688. https://doi.org/10.1016/j.jesp.2010.02.007
  CrossrefGoogle Scholar
• Maholmes, V. (2014). Fostering resilience and well-being in children and families in poverty: Why hope still matters. Oxford University Press.
  CrossrefGoogle Scholar
• McGregor, K. K. (2020). How we fail children with developmental language disorder.Language, Speech, and Hearing Services in Schools, 51(4), 981–992. https://doi.org/10.1044/2020_LSHSS-20-00003
  ASHAWireGoogle Scholar
• Morgan, P. L., Farkas, G., Hillemeier, M. M., Li, H., Pun, W. H., & Cook, M. (2017). Cross-cohort evidence of disparities in service receipt for speech or language impairments.Exceptional Children, 84(1), 27–41. https://doi.org/10.1177/0014402917718341
  CrossrefGoogle Scholar
• New Jersey Administrative Code, § 6A (2016).
  Google Scholar
• Noble, K. G., Houston, S. M., Brito, N. H., Bartsch, H., Kan, E., Kuperman, J. M., Akshoomoff, N., Amaral, D. G., Bloss, C. S., Libiger, O., Schork, N. J., Murray, S. S., Casey, B. J., Chang, L., Ernst, T. M., Frazier, J. A., Gruen, J. R., Kennedy, D. N., van Zijl, P., Sowell, E. R. (2015). Family income, parental education and brain structure in children and adolescents.Nature Neuroscience, 18(5), 773–778. https://doi.org/10.1038/nn.3983
  CrossrefMedlineGoogle Scholar
• Oetting, J. B., Berry, J. R., Gregory, K. D., Riviere, A. M., & McDonald, J. (2019). Specific language impairment in African American English and Southern White English: Measures of tense and agreement with dialect-informed probes and strategic scoring.Journal of Speech, Language, and Hearing Research, 62(9), 3443–3461. https://doi.org/10.1044/2019_JSLHR-L-19-0089
  ASHAWireGoogle Scholar
• Pancsofar, N., Vernon-Feagans, L., & The Family Life Project Investigators. (2010). Fathers' early contributions to children's language development in families from low-income rural communities.Early Childhood Research Quarterly, 25(4), 450–463. https://doi.org/10.1016/j.ecresq.2010.02.001
  CrossrefMedlineGoogle Scholar
• Project Implicit. (2011). Take a test. https://implicit.harvard.edu/implicit/selectatest.html
  Google Scholar
• Querido, J. G., Warner, T. D., & Eyberg, S. M. (2002). Parenting styles and child behavior in African American families of preschool children.Journal of Clinical Child Psychology, 31(2), 272–277. https://doi.org/10.1207/S15374424JCCP3102_12
  CrossrefGoogle Scholar
• Robinson, G. C., & Norton, P. C. (2019). A decade of disproportionality: A state-level analysis of African American students enrolled in the primary disability category of speech or language impairment.Language, Speech, and Hearing Services in Schools, 50(2), 267–282. https://doi.org/10.1044/2018_LSHSS-17-0149
  ASHAWireGoogle Scholar
• Roseberry-McKibbin, C. (2013). Increasing language skills of students from low-income backgrounds: Practical strategies for professionals (2nd ed.). Plural.
  Google Scholar
• Schaeffer, K. (2021, December10). America's public school teachers are far less racially and ethnically diverse than their students.Pew Research Center. https://www.pewresearch.org/fact-tank/2021/12/10/americas-public-school-teachers-are-far-less-racially-andethnically-diverse-than-their-students/
  Google Scholar
• Schifter, L., Grindal, T., Schwartz, G., & Hehir, T. (2019, January17). Students from low income families and special education.The Century Foundation. https://tcf.org/content/report/students-lowincome-families-special-education/
  Google Scholar
• Semel, E., Wiig, E. H., & Secord, W. A. (2006). Clinical Evaluation of Language Fundamentals–Fourth Edition, Spanish version. Pearson Education.
  Google Scholar
• Shapiro, E. S., & Heick, P. F. (2004). School psychologist assessment practices in the evaluation of students referred for social/behavioral/emotional problems.Psychology in the Schools, 41(5), 551–561. https://doi.org/10.1002/pits.10176
  CrossrefGoogle Scholar
• Snyder, M. (2012, January17). Why blue-collar jobs are disappearing.Business Insider. https://www.businessinsider.com/why-blue-collar-jobs-are-dissapearing-2012-1
  Google Scholar
• Stanford, S. (2019). Casualties of misunderstanding: Communication disorders and juvenile injustice.The ASHA Leader, 24(6), 44–53. https://doi.org/10.1044/leader.FTR1.24062019.44
  ASHAWireGoogle Scholar
• Stanford, S. (2020). The school-based speech-language pathologist's role in diverting the school-to-confinement pipeline for youth with communication disorders.Perspectives of the ASHA Special Interest Groups, 5(4), 1057–1066. https://doi.org/10.1044/2020_PERSP-20-0002
  ASHAWireGoogle Scholar
• Stelter, M., & Degner, J. (2018). Recognizing Emily and Latisha: Inconsistent effects of name stereotypicality on the other-race effect.Frontiers in Psychology, 9, 486–486. https://doi.org/10.3389/fpsyg.2018.00486
  CrossrefMedlineGoogle Scholar
• Sullivan, A. L., & Bal, A. (2013). Disproportionality in special education: Effects of individual and school variables on disability risk.Exceptional Children, 79(4), 475–494. https://doi.org/10.1177/001440291307900406
  CrossrefGoogle Scholar
• The Annie E. Casey Foundation. (2020). Child population by race and ethnicity in the United States (Population Division, U.S. Census Bureau). https://datacenter.kidscount.org/data/tables/103-child-population-by-race-and-ethnicity#detailed/1/any/false/1729,37,871,870,573,869,36,868,867,133/69,67,12,70,66,71,72/423,424
  Google Scholar
• Tomblin, J. B., Records, N. L., Buckwalter, P., & Zhang, X. (1997). Prevalence of specific language impairment in kindergarten children.Journal of Speech, Language, and Hearing Research, 40(6), 1245–1260. https://doi.org/10.1044/jslhr.4006.1245
  ASHAWireGoogle Scholar
• Travers, J. C., Tincani, M., & Krezimen, M. P. (2011). A multiyear national profile of racial disparity in autism identification.The Journal of Special Education, 47(1), 41–49. https://doi.org/10.1177/0022466911416247
  CrossrefGoogle Scholar
• U.S. Census Bureau. (2021). Frequently occurring surnames from the 2010 Census. https://www.census.gov/topics/population/genealogy/data/2010_surnames.html
  Google Scholar
• U.S. Courts. (n.d.). History—Brown v. Board of Education Re-enactment. https://www.uscourts.gov/educational-resources/educational-activities/history-brown-v-board-education-re-enactment
  Google Scholar
• U.S. Department of Education. (2019a). Indicator 4: Children living in poverty. National Center for Education Statistics. https://nces.ed.gov/programs/raceindicators/indicator_rad.asp
  Google Scholar
• U.S. Department of Education. (2019b). Indicator 9: Students with disabilities. National Center for Education Statistics. https://nces.ed.gov/programs/raceindicators/indicator_rbd.asp
  Google Scholar
• U.S. Department of Education. (2019c). Indicator 15: Retention, suspension, and expulsion. National Center for Education Statistics. https://nces.ed.gov/programs/raceindicators/indicator_rda.asp
  Google Scholar
• U.S. Department of Education. (2020). The condition of education 2020 (NCES 2020-144). National Center for Education Statistics. https://nces.ed.gov/pubs2020/2020144.pdf
  Google Scholar
• Understood. (n.d.). Special education: Federal law vs. state law. https://www.understood.org/en/articles/special-education-federal-law-vs-state-law
  Google Scholar
• Vigil, D. C., & Westby, C. E. (2004). Caregiver interaction style.SIG 14 Perspectives on Communication Disorders and Sciences in Culturally and Linguistically Diverse (CLD) Populations, 11(2), 10–14. https://doi.org/10.1044/cds11.2.10
  ASHAWireGoogle Scholar
• Von Stumm, S., Smith-Woolley, E., Ayorech, Z., McMillan, A., Rimfeld, K., Dale, P. S., & Plomin, R. (2019). Predicting educational achievement from genomic measures and socioeconomic status.Developmental Science, 23(3), Article e12925. https://doi.org/10.1111/desc.12925
  MedlineGoogle Scholar
• Wiig, E. H., Secord, W. A., & Semel, E. (2006). Clinical Evaluation of Language Fundamentals Preschool–Second Edition. Harcourt Assessment.
  Google Scholar
• Xu, K., Nosek, B., & Greenwald, A. (2014). Psychology data from the Race Implicit Association Test on the Project Implicit demo website.Journal of Open Psychology Data, 2(1), Article e3. https://doi.org/10.5334/jopd.ac
  CrossrefGoogle Scholar
• Young, A. R., Beitchman, J. H., Johnson, C., Douglas, L., Atkinson, L., Escobar, M., & Wilson, B. (2002). Young adult academic outcomes in a longitudinal sample of early identified language impaired and control children.The Journal of Child Psychology and Psychiatry, 43(5), 635–645. https://doi.org/10.1111/1469-7610.00052
  CrossrefMedlineGoogle Scholar
• Zhang, D., Katsiyannis, A., Ju, S., & Roberts, E. (2014). Minority representation in special education: 5-year trends.Journal of Child and Family Studies, 23(1), 118–127. https://doi.org/10.1007/s10826-012-9698-6
  CrossrefGoogle Scholar