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Wangqian Fu; Huixing Chen; Yawen Xiao; Cui Yin – International Journal of Developmental Disabilities, 2024
Background: Little is known about the categorization ability of children with intellectual disabilities (ID) in China, which is critical in guiding teaching practice and learning support strategies for those students. The study has aimed to explore the characteristics of categorization ability of children with ID. Method: This study used an…
Descriptors: Foreign Countries, Moderate Intellectual Disability, Classification, Children
Maddox, Brenna B.; Rump, Keiran M.; Stahmer, Aubyn C.; Suhrheinrich, Jessica; Rieth, Sarah R.; Nahmias, Allison S.; Nuske, Heather J.; Reisinger, Erica M.; Crabbe, Samantha R.; Bronstein, Briana; Mandell, David S. – Grantee Submission, 2020
Objective: States in the United States differ in how they determine special education eligibility for autism services. Few states include an autism-specific diagnostic tool in their evaluation. In research, the Autism Diagnostic Observation Schedule (ADOS for first edition, ADOS-2 for second edition) is considered the gold-standard autism…
Descriptors: Autism, Pervasive Developmental Disorders, Observation, Diagnostic Tests
Naigles, Letitia R.; Kelley, Elizabeth; Troyb, Eva; Fein, Deborah – Journal of Autism and Developmental Disorders, 2013
In two experiments, typically developing (TD) children, high-functioning children with autism (HFA) and children with a history of autism who have achieved optimal outcomes (OOs), matched on age (M = 13 years) and nonverbal IQ, were asked to extend properties of categories to new items (categorical induction). All groups demonstrated some…
Descriptors: Children, Autism, Classification, Verbal Ability
Mayes, Susan Dickerson; Calhoun, Susan L.; Murray, Michael J.; Morrow, Jill D.; Yurich, Kirsten K. L.; Cothren, Shiyoko; Purichia, Heather; Mahr, Fauzia; Bouder, James N.; Petersen, Christopher – Focus on Autism and Other Developmental Disabilities, 2012
The authors of the "Childhood Autism Rating Scale" (CARS) state in the manual that the best cutoff score for distinguishing low functioning autism (LFA) from intellectual disability is 30 for children and 28 for adolescents and adults. This study determined that a cutoff score of 25.5 was most accurate in differentiating between high functioning…
Descriptors: Mental Retardation, Autism, Asperger Syndrome, Rating Scales
Englund, Julia A.; Decker, Scott L.; Allen, Ryan A.; Roberts, Alycia M. – Journal of Psychoeducational Assessment, 2014
Cognitive deficits in working memory (WM) are characteristic features of Attention-Deficit/Hyperactivity Disorder (ADHD) and autism. However, few studies have investigated cognitive deficits using a wide range of cognitive measures. We compared children with ADHD ("n" = 49) and autism ("n" = 33) with a demographically matched…
Descriptors: Cognitive Ability, Neurological Impairments, Attention Deficit Hyperactivity Disorder, Children
Mattison, Richard E. – Behavioral Disorders, 2015
This study of 182 secondary special education students with emotional and/or behavioral disorders investigated their classification by their school districts, in particular how well they were distinguished and represented by their federal categories. The districts used four classification groups (emotional disturbance, other health impairment…
Descriptors: Special Education, Emotional Disturbances, Behavior Disorders, School Districts
Swanson, H. Lee – Journal of Learning Disabilities, 2011
This longitudinal study assessed (a) whether performance changes in working memory (WM) as a function of dynamic testing were related to growth in reading comprehension and (b) whether WM performance among subgroups of children with reading disabilities (RD; children with RD only, children with both reading and arithmetic deficits, and low verbal…
Descriptors: Reading Comprehension, Reading Difficulties, Maintenance, Testing
Lord, Catherine; Jones, Rebecca M. – Journal of Child Psychology and Psychiatry, 2012
Background: The nosology of autism spectrum disorders (ASD) is at a critical point in history as the field seeks to better define dimensions of social-communication deficits and restricted/repetitive behaviors on an individual level for both clinical and neurobiological purposes. These different dimensions also suggest an increasing need for…
Descriptors: Autism, Classification, Psychometrics, Pervasive Developmental Disorders
Hall, Scott S.; Lightbody, Amy A.; Hirt, Melissa; Rezvani, Ava; Reiss, Allan L. – Journal of the American Academy of Child & Adolescent Psychiatry, 2010
Objective: Many investigators now routinely classify children with fragile X syndrome (FXS) according to whether or not they also meet diagnostic criteria for autism. To determine whether this classification is appropriate, we examined the profiles of autistic behaviors shown by boys and girls with FXS. Method: Individuals with FXS, aged 5 to 25…
Descriptors: Genetic Disorders, Mental Retardation, Congenital Impairments, Autism
McGonigle-Chalmers, Margaret; Alderson-Day, Ben – Journal of Autism and Developmental Disorders, 2010
Spontaneous classification was assessed using a free serial search task in 18 school-aged children at the high functioning end of the autistic spectrum and compared with results from age-matched typically developing controls. The task required participants to touch shapes in an exhaustive non-repetitive sequence. The positions of the items varied…
Descriptors: Autism, Asperger Syndrome, Classification, Pervasive Developmental Disorders
Frijters, Jan C.; Lovett, Maureen W.; Steinbach, Karen A.; Wolf, Maryanne; Sevcik, Rose A.; Morris, Robin D. – Journal of Learning Disabilities, 2011
This study reports on several specific neurocognitive process predictors of reading outcomes for a sample of 278 children with reading disabilities. Three categories of response (i.e., poor, average, and good) were formed via growth curve models of six reading outcomes. Two nested discriminant function analyses were conducted to evaluate the…
Descriptors: Reading Difficulties, Intelligence Quotient, Intervention, Phonology
Marcus, Joseph C. – American Journal on Mental Retardation, 1993
This study, involving 90 children with mental retardation and epilepsy, classified and compared level of retardation, neurological findings, and electroencephalograms with the quality of seizure control. No correlation was found between quality of control and any of these parameters. (Author/JDD)
Descriptors: Children, Classification, Correlation, Drug Therapy

Hindley, C. B.; Owen, C. F. – British Journal of Psychology, 1979
The case is made for basing analysis of longitudinal data on each subject's curve of scores. In this analysis of IQ scores from a longitudinal study, fitted curves yielded significant error reduction, rendering untenable the doctrine of IQ constancy. A visual method of curve classification is also presented. (Author/SJL)
Descriptors: Adolescents, Age Differences, Analysis of Variance, Child Development