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Cohen, 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

Korhonen, Tapio T. – Journal of Learning Disabilities, 1991
A sample of 74 Finnish children with mild learning disabilities and 57 controls were grouped into 5 subgroups (normal, general language, visuo-motor, general deficiency, naming) and followed from the third to the sixth grade. Results indicated that neuropsychological profiles were generally maintained, with changes related to progress in reading.…
Descriptors: Classification, Elementary Education, Followup Studies, Foreign Countries
Buckhalt, Joseph A.; McGhee, Ron L. – Diagnostique, 1991
The Index of Personality Characteristics (IPC) and the Social Reasoning subtest of the British Ability Scales were administered to 36 students with behavior disorders (BD) and 37 nonexceptional students in grades 3-7. Results indicated that the IPC composite score in combination with the Social Reasoning subtest accurately predicted BD…
Descriptors: Behavior Disorders, Classification, Educational Diagnosis, Elementary Secondary Education

Cunningham, J. Barton – Simulation and Games, 1984
Clarifies appropriateness of certain simulation approaches by distinguishing between different types of simulations--experimental, predictive, evaluative, and educational--on the basis of purpose, assumptions, procedures, and criteria for evaluating. The kinds of questions each type best responds to are discussed. (65 references) (MBR)
Descriptors: Classification, Comparative Analysis, Design Requirements, Educational Games