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Nieminen, Timo A.; Choi, Serene Hyun-Jin – International Journal of Research & Method in Education, 2008
Quantitative behaviour analysis requires the classification of behaviour to produce the basic data. This can be challenging when the theoretical taxonomy does not match observational limitations, or if a theoretical taxonomy is unavailable. Binary keys allow qualitative observation to be used to modify a theoretical taxonomy to produce a practical…
Descriptors: Developmental Disabilities, Behavioral Science Research, Classification, Identification
Peer reviewedCohen, Ira L.; And Others – Journal of Autism and Developmental Disorders, 1993
Neural network technology was compared with simultaneous and stepwise linear discriminant analysis in terms of their ability to classify and predict persons (n=138) as having autism or mental retardation. The neural network methodology was superior in both classifying groups and in generalizing to new cases that were not part of the training…
Descriptors: Autism, Classification, Generalization, Handicap Identification
Peer reviewedDawson, Geraldine – Journal of Autism and Developmental Disorders, 1996
This review of the literature on the neuropsychology of autism identifies several consistent findings, such as: existence of neuropsychological impairments in a wide range of domains; large individual differences in certain neuropsychological domains; greater difficulty with tasks involving social information; possible association of the amygdala…
Descriptors: Autism, Classification, Cognitive Processes, Interpersonal Competence
Peer reviewedMaguire, Russell W.; And Others – Journal of Autism and Developmental Disorders, 1994
The matching-to-sample performances of three young adults with autism and four children (ages four to nine) without intellectual disabilities were examined in three experiments using complex sample stimuli. Results for all subjects showed that each of two redundant relevant sample elements and their respective comparison stimuli were substitutable…
Descriptors: Adults, Age Differences, Autism, Classification
Peer reviewedWaterhouse, Lynn; And Others – Journal of Autism and Developmental Disorders, 1996
This study compared four systems for diagnosis of autism (Diagnostic and Statistical Manuals of Mental Disorders III, III-R, and IV, and the International Classification of Disabilities-10) with 2 empirically derived taxa and 3 social subgroups (aloof, passive, and active but odd) in 194 preschool children with social impairment. Findings support…
Descriptors: Autism, Classification, Clinical Diagnosis, Interpersonal Competence
Slotnick, Carol Fisher – 1983
To provide a differentiated characterization of autistic children's logical deficits, a non-verbal, microanalytic method designed for infants and young children was used. Subjects were 12 autistic children ranging in age from 5 to 7 years and a control group of 12 normal children ranging in age from 23 to 30 months. Subjects were given two…
Descriptors: Autism, Classification, Cognitive Ability, Cognitive Measurement
Peer reviewedTager-Flusberg, Helen – Child Development, 1985
Findings suggest that semantic knowledge for concrete objects is represented and organized in similar ways in autistic, retarded, and normal children. Previous findings on cognitive deficits in autistic children are more likely related to their inability to use cognitive representations in an appropriate and flexible manner. (Author/RH)
Descriptors: Autism, Classification, Cognitive Ability, Comparative Analysis
Peer reviewedEaves, Linda C.; And Others – Journal of Autism and Developmental Disorders, 1994
Cluster analysis of data from 166 children with autistic spectrum disorders revealed 4 subtypes with differences in behavioral and cognitive areas. The four subtypes include a typically autistic group, a low-functioning group, a high-functioning group (Asperger syndrome/schizoid), and a hard-to-diagnose group with mild/moderate retardation and a…
Descriptors: Asperger Syndrome, Autism, Behavior Development, Classification
Peer reviewedVan Bourgondien, Mary E.; And Others – Journal of Autism and Developmental Disorders, 1992
This study compared DSM-III-R (Diagnostic and Statistical Manual III, Revised), Childhood Autism Rating Scale, and clinical diagnoses of 138 admissions to a program for diagnosis and treatment of autistic and related communication-handicapped individuals. Results indicated generally high agreement on the diagnosis of autism, with DSM-III-R…
Descriptors: Autism, Classification, Clinical Diagnosis, Communication Disorders
Peer reviewedRutter, Michael – Journal of Autism and Developmental Disorders, 1996
Research prospects and priorities in autism are discussed with respect to: (1) diagnosis, classification, and epidemiology; (2) clinical research; (3) neuropsychological research; (4) genetics; (5) structural and functional brain imaging; (6) postmortem studies; (7) other biological research; and (8) treatment research. Application of research…
Descriptors: Autism, Biology, Classification, Clinical Diagnosis
Peer reviewedVolkmar, Fred R.; And Others – Journal of Autism and Developmental Disorders, 1992
This paper compared clinicians' diagnosis and DSM-III (Diagnostic and Statistical Manual), DSM-III-R (Revised), and ICD-10 (International Classification of Diseases) diagnoses of 52 individuals with autism and 62 nonautistic, developmentally disordered individuals. The DSM-III-R system overdiagnosed the presence of autism, and ICD-10 closely…
Descriptors: Autism, Classification, Clinical Diagnosis, Comparative Analysis
Tirosh, Emanuel; Canby, Joan – American Journal on Mental Retardation, 1993
Analysis of family and medical histories of 5 children (ages 11 to 16) with autism and hyperlexia and 5 sex-matched and IQ-matched children (ages 9 to 15) with autism but no hyperlexia suggested that children with autism and hyperlexia represent part of the continuum of autism rather than a specific syndrome. (Author/DB)
Descriptors: Autism, Case Studies, Classification, Family Characteristics
Peer reviewedStromer, Robert; And Others – Journal of Applied Behavior Analysis, 1996
This review of research discusses how children with autism may acquire equivalence classes after learning to supply a common oral name to each stimulus in a potential class. A proposed methodology for researching referent naming and class formation, analysis of stimulus classes, and generalization is offered. (CR)
Descriptors: Autism, Behavioral Science Research, Classification, Cognitive Processes
Peer reviewedTager-Flusberg, Helen – Journal of Experimental Child Psychology, 1985
Describes three experiments that tested autistic children's nonverbal and verbal categorization abilities. Concludes that autistic children do not suffer a specific cognitive deficit in ability to categorize and form abstract concepts. (HOD)
Descriptors: Abstract Reasoning, Autism, Classification, Cognitive Ability
Peer reviewedBorden, M. Christopher; Ollendick, Thomas H. – Journal of Autism and Developmental Disorders, 1994
Examination of 53 children with autism supported the validity of the subtypes "aloof" and "active-but-odd" as predictors of behavior across language/communication, reciprocal social interaction, and stereotyped behavior/restricted interest domains. Partial support for an intermediate, "passive" subtype was garnered. (Author/JDD)
Descriptors: Autism, Behavior Development, Children, Classification
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