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No Child Left Behind Act 20011
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Anna Shapiro – Exceptional Children, 2023
There is growing evidence that school starting age impacts children's likelihood of receiving special education services, but less is known about variations in this effect. Using a regression discontinuity design, I found that the youngest students in a kindergarten cohort are 40% more likely (p < 0.001) to be placed in special education than…
Descriptors: Clinical Diagnosis, School Entrance Age, Special Education, Age Differences
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Lopez-Pedersen, Anita; Mononen, Riikka; Korhonen, Johan; Aunio, Pirjo; Melby-Lervåg, Monica – Scandinavian Journal of Educational Research, 2021
This study investigated the psychometric properties of the Early Numeracy Screener. The Early Numeracy Screener is a teacher-administered, paper-and-pencil test measuring counting skills, numerical relational skills, and basic arithmetic skills. Three hundred and sixty-six first graders took the Early Numeracy Screener at the beginning of the…
Descriptors: Numeracy, Screening Tests, Test Validity, Test Reliability
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Zuk, Jennifer; Dunstan, Jade; Norton, Elizabeth; Yu, Xi; Ozernov-Palchik, Ola; Wang, Yingying; Hogan, Tiffany P.; Gabrieli, John D. E.; Gaab, Nadine – Developmental Science, 2021
Recent efforts have focused on screening methods to identify children at risk for dyslexia as early as preschool/kindergarten. Unfortunately, while low sensitivity leads to under-identification of at-risk children, low "specificity" can lead to over-identification, resulting in inaccurate allocation of limited educational resources. The…
Descriptors: Kindergarten, At Risk Persons, Screening Tests, Preschool Children
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McConkey, Roy – European Journal of Special Needs Education, 2020
The rise in prevalence rates of children with ASD is well documented internationally. In the United Kingdom, Northern Ireland has consistently higher rates although the reasons for this are not clear. Using data from the annual school census that is held each year in Northern Ireland, changes in the numbers and prevalence rates of pupils…
Descriptors: Incidence, Students with Disabilities, Autism, Pervasive Developmental Disorders
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Wong, Patsy P. S.; Wai, Veronica C. M.; Chan, Raymond W. S.; Leung, Cecilia N. W.; Leung, Patrick W. L. – Autism: The International Journal of Research and Practice, 2021
The Hong Kong Chinese version of the Autism-Spectrum Quotient-Child and Autism-Spectrum Quotient-Adolescent were examined for their psychometric properties and specificity on screening autism spectrum disorder against attention-deficit/hyperactivity disorder. This study recruited three groups of participants: typically developing children;…
Descriptors: Autism, Pervasive Developmental Disorders, Psychometrics, Screening Tests
Anna Katherine Shapiro – ProQuest LLC, 2020
Nearly 14% of students in the United States receive special education services in public schools (NCES, 2017). Special education programs serve students with a wide range of developmental differences and vary considerably across schools and districts (National Research Council, 1997). Likelihood of identification for special education services…
Descriptors: Clinical Diagnosis, School Entrance Age, Special Education, Age Differences
Haas, Jaime M. – ProQuest LLC, 2018
Public education, at present, is focused on ensuring the success of all students and has tasked educators with producing positive results. Despite this political climate, research has indicated that some learners, such as those considered economically disadvantaged and those requiring special education, tend to face higher adversity, making it…
Descriptors: Elementary School Students, Low Income Students, Special Education, Gender Differences
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AL-Qadri, Abdo Hasan; Zhao, Wei – South African Journal of Education, 2021
Developmental learning difficulties are among the prevalent exceptionalities school learners have today. In this regard, identification and placement are among the facilitators of later successful intervention for these groups of learners (WestOlatunji, Shure, Pringle, Adams, Lewis & Cholewa, 2010). However, there are not enough resources such…
Descriptors: Foreign Countries, Elementary School Students, Learning Problems, Test Construction
Shapiro, Anna – Annenberg Institute for School Reform at Brown University, 2020
Much of the literature estimating disproportionality in special education identification rates has focused on socioeconomic status, race, and gender. However, recent evidence suggests that a student's school starting age also impacts the likelihood they receive special education services, particularly in the early grades. I build on the evidence…
Descriptors: School Entrance Age, Special Education, Disproportionate Representation, Attention Deficit Hyperactivity Disorder
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Hosozawa, Mariko; Sacker, Amanda; Mandy, William; Midouhas, Emily; Flouri, Eirini; Cable, Noriko – Autism: The International Journal of Research and Practice, 2020
This study aimed to identify determinants of a late autism spectrum disorder diagnosis, including diagnoses made 'very late' (i.e., in adolescence), using the Millennium Cohort Study, a nationally representative population-based cohort in the United Kingdom. Children diagnosed with autism spectrum disorder by age 14 (N = 581) were included and…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Adolescents
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Strand, Steve; Lindorff, Ariel – Exceptional Children, 2021
We used pupil-level data from the National Pupil Database in England to conduct a longitudinal analysis of the identification of moderate learning difficulties (MLD) and social, emotional, and mental health difficulties (SEMH) among 550,000 pupils ages 5 to 11 years. Survival analysis was used to determine the hazard ratios (HRs) for time to first…
Descriptors: Foreign Countries, Racial Differences, Ethnicity, White Students
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Swanson, H. Lee – Topics in Language Disorders, 2017
The purpose of this cohort sequential study was to extend previously reported latent transition analyses conducted by Swanson, Kudo, and Guzman-Orth (2016) by determining the role of cognitive measures in identifying English learners (EL) at risk for late emerging reading disabilities (LERD). To this end, EL students (N = 450) in Grades 1, 2, and…
Descriptors: English Language Learners, At Risk Students, Reading Difficulties, Learning Disabilities
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Schulte, Ann C.; Stevens, Joseph J. – Exceptional Children, 2015
This study used a statewide longitudinal sample to examine mathematics achievement gaps and growth in students with and without disabilities and to examine the impact of different methods of determining disability group membership on achievement gaps and growth. When disability status was determined on the basis of special education placement each…
Descriptors: Longitudinal Studies, Mathematics Achievement, Achievement Gap, Disabilities
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Lambert, Matthew C.; Epstein, Michael; Ingram, Stephanie; Simpson, Amy; Bernstein, Seth – Behavioral Disorders, 2014
Many students who exhibit behavioral and emotional problems during adolescence often show less severe problems in school in early grades. Screening for these early indicators can help educational professionals direct support to students who are more likely to benefit from increased support. The screening protocol needs to be psychometrically…
Descriptors: Emotional Problems, Behavior Problems, Adolescents, Severity (of Disability)
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Thomas, Pauline; Zahorodny, Walter; Peng, Bo; Kim, Soyeon; Jani, Nisha; Halperin, William; Brimacombe, Michael – Autism: The International Journal of Research and Practice, 2012
Background: In 2007 the Centers for Disease Control and Prevention (CDC) reported a higher prevalence of autism spectrum disorder (ASD) in New Jersey, one of the wealthiest states in the United States, than in other surveillance regions. Objective: To examine the association of socioeconomic status (SES) with ASD prevalence. Methods: Information…
Descriptors: Socioeconomic Status, Autism, Educational Diagnosis, Disability Identification
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