Socioeconomic Inequality

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Harris et al. 2014 noted that only two of the assessments included English language learners the Modified Checklist for Autism in Toddlers (M-CHAT) and the Social Communication Questionnaire (SCQ), but the standardization processes for these materials is not as complete, because they still have not included the CLD populations in the material they presented. Also it is fundamental to recognize that the practitioners should not utilize standard result scores that it’s sample does not represent the population or the language and does not have provided computational tools. Socioeconomic Inequality in Prevalence and Access to Service.
The socioeconomic inequality in the racial and ethnic minority communities’ Prevalence has not been …show more content…

The clinicians having conflicting opinions about the prevalence of ASD, including biases related to prejudice or pattern of the ASD as a diagnoses approach can be classified as a stereotype. Stone, (1987) found “that pediatricians and clinical psychologists endorsed the notion that autism is overrepresented in higher socioeconomic classes” (Cuccaro et al., (1996). Their perspective of role of SES contributes to the disparity in diagnoses of ASD, because their view SES only gives more importance to the population from high SES communities. Begeer et al. (2009) argued that clinicians are less likely to screen CLD children for ASD. These diagnostic biases were consistent across many studies, Cuccaro et al., (1996) discovered evidence of clinicians assigning autism diagnoses more likely to children from high SES than low SES background (Durkin et al., 2010). Cuccaro et al., (1996) also uncovered that autistic disorder (AUT) and learning disability (LD) were significantly more like for high SES groups, that deprived low SES groups from diagnoses and hindrance from identification, a problematic category that is not just …show more content…

(Estrem and Zhang, 2010) “Black children were more likely to be identified with ASD through school sources than through non-school sources.” The school's sources is identifying greater number of students has it’s own bias that is not mostly addressed and contributes to the difference in prevalence, but they are referring the children to service with overloaded cases. Durkin et al., (2010) quotes that “A study found a positive association between SES and risk of ASD based on ascertainment through health care providers, but not based on ascertainment only from school records.” the reason that prevalence rates is higher for low SES and proportionality exists between the health and school sources, because population with low SES cannot afford to go to health care outside the school or the have the arrangement to go to health care in their daily schedule. The difference is due to how the systems are set up; healthcare is not universal in the U.S, but access to school-based services (Durkin et al., 2010). So it is easier for children to identify through this system for placement of special education. Artiles et al., (2005) reiterated “ELLs with Limited LI and L2 showed the highest rates of identification in the special education.” At the same time, this

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