Comparative Utility of Barona Formulae, Wtar Demographic Algorithms, and WRAT-3 Reading for Estimating Premorbid Ability in a Diverse Research Sample
| Autor: | Jeffrey T. Barth, Elizabeth Turf, Michael L. Stutts, J.D. Ball, Robert P. Hart |
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| Rok vydání: | 2007 |
| Předmět: |
Adult
Male Psychometrics media_common.quotation_subject Intelligence Sample (statistics) Demographic data Developmental psychology Raven's Progressive Matrices Arts and Humanities (miscellaneous) Reference Values Reading (process) Developmental and Educational Psychology medicine Humans Demography media_common Descriptive statistics Wechsler Scales Reproducibility of Results Middle Aged Psychiatry and Mental health Clinical Psychology Neuropsychology and Physiological Psychology Reading Learning disability Educational Status Female medicine.symptom Cognition Disorders Psychology Algorithm Algorithms |
| Zdroj: | The Clinical Neuropsychologist. 21:422-433 |
| ISSN: | 1744-4144 1385-4046 |
| DOI: | 10.1080/13854040600582577 |
| Popis: | Various Barona formulae, a WTAR algorithm based on demographic data, and WRAT-3 oral reading methods of estimating premorbid ability were compared in a diverse research sample of 119 subjects. These methods were correlated with one another and with a modified version of the Raven Standard Progressive Matrices. Descriptive data are provided to illustrate advantages and disadvantages of various methods of estimating premorbid ability when no formal intellectual testing is available. While predicting premorbid ability for individual subjects involves varying degrees of error, we found that the revised Barona formula was superior to the original formula for subjects at the upper end of ability level. When researchers have screened out learning disability and have subject samples with few individuals likely to be of superior premorbid intelligence, oral reading scores are a reasonable measure of premorbid ability. Otherwise, researchers are advised to use both demographic and oral reading methods to estimate premorbid ability. |
| Databáze: | OpenAIRE |
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