Abstract
Patients from two neuropsychology clinics (n=283) were divided into model development (n=189) and validation samples (n=94) with proportional representation from each clinic. Three regression based models of four WAIS-III subtests were developed and cross-validated to evaluate their FSIQ estimation accuracy: (1) an optimized stepwise regression model derived from the development sample (Comprehension, Matrix Reasoning, Similarities, and Picture Arrangement), (2) an a priori WASI based model (Similarities, Matrix Reasoning, Vocabulary, and Block Design), and (3) an a priori model with relatively rapidly administered subtests from each Index Score factor of the WAIS-III (Information, Picture Completion, Arithmetic, and Digit Symbol-Coding). The models produced good (92 to 97%) FSIQ estimation accuracy within 10 points of FSIQ with none of these models performing significantly better than another. The utility of clinical use of short form FSIQ estimation is a function of accuracy needed versus administration time reduction and ease for the patient.
Original language | English |
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Pages (from-to) | 235-240 |
Number of pages | 6 |
Journal | Journal of Psychopathology and Behavioral Assessment |
Volume | 30 |
Issue number | 3 |
DOIs | |
State | Published - Sep 2008 |
Keywords
- Assessment
- IQ prediction
- Intelligence
- Short form
- WAIS-III