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Diagnostic Implications of Bannatyne's Recategorized WISC-R Scores for Identifying Learning Disabled Children.
Peer reviewed Peer reviewed
Henry, Stephan A.; Wittman, Robert D. – Journal of Learning Disabilities, 1981
The study examined the use of A. Bannatyne's Wechsler Intelligence Scale for Children-Revised (WISC-R) subtest score recategorization hierarchy in identifying elementary students with learning disabilities (LD). The results indicated that Bannatyne's pattern was of little value in differentiating between LD students and nonLD students and, if…
Descriptors: Clinical Diagnosis, Disability Identification, Elementary Education, Learning Disabilities
Bender Gestalt Test, Visual Aural Digit Span Test and Reading Achievement
Peer reviewed Peer reviewed
Koppitz, Elizabeth Munsterberg – Journal of Learning Disabilities, 1975
Descriptors: Elementary Education, Exceptional Child Research, Learning Disabilities, Reading Difficulty
External Validity of the Profile Variability Index for the K-ABC, Stanford-Binet, and WISC-R: Another Cul-de-Sac.
Peer reviewed Peer reviewed
Kline, Rex B.; And Others – Journal of Learning Disabilities, 1993
This study evaluated the external validity of a measure of IQ subtest variability, the profile variability index (PVI), with a sample of 146 children referred for psychological testing. Correlation of PVIs on each intelligence test with achievement scores and indexes of discrepancy between actual and predicted scholastic achievement found…
Descriptors: Academic Achievement, Elementary Education, Intelligence Tests, Learning Disabilities
The Z-Score Discrepancy Method for Identifying Reading Disabled Children
Peer reviewed Peer reviewed
Erickson, Marilyn T. – Journal of Learning Disabilities, 1975
Descriptors: Elementary Education, Exceptional Child Research, Identification, Intelligence Quotient
Learning Disability Classification by Bayesian Aggregation of Test Results
Peer reviewed Peer reviewed
DeRuiter, James A.; And Others – Journal of Learning Disabilities, 1975
Evaluated with 25 learning disabled (LD) and 25 non LD elementary level children was the Bayesian method to screen children for possible LD, an approach which uses the aggregation of data--objective test scores related to likelihood ratios and a known prior odds ratio. (Author/DB)
Descriptors: Bayesian Statistics, Elementary Education, Exceptional Child Research, Identification