Intellectual Functioning of Individuals with Mental Disorders on Wechsler Adult Intelligence Scale –Revised (WAIS –R)
Bibliographic record
Abstract
The purpose of present research was to evaluate the intellectual functioning of individuals suffering from MajorDepressive Disorder, Obsessive Compulsive disorder and Schizophrenia. After detailed literature review it washypothesized that the mean full scale IQ score of adults with Obsessive Compulsive disorder will be higher thanthe mean full-scale IQ score of adults with (i) Schizophrenia and (ii) Depression. Since the previous centuryresearch work has been started on intelligence investigating how it is related to psychiatric disorders e.g Goodmanand Graham, (1996) found psychiatric problems as the strongest consistent predictor of intelligence quotient (IQ).Further several other researchers found the effects of psychological disorders on intellectual functions (Tallis et al.1999; Savage et al. 2000; Zitterl et al, 2001; Tuna et al. 2005). Through purposive sampling technique; consideringthe independent group design, a sample of 90 (30 in each group) was selected from different psychiatric clinics andhospitals of Karachi- Pakistan. The age range was from 16 to 50 years (mean age=31.5 years).Their educationlevel was Intermediate to Masters. After taking the consent from the authorities their diagnoses were taken fromthe concerned files. The Wechsler Adult Intelligence Scale (WAIS-R, Wechsler, 1981) was administered to assessthe intellectual functioning of the patients, followed by Intake card and Case History Sheet of Institute of ClinicalPsychology, University of Karachi. In order to interpret the results in statistical terminology t-test and ANOVAwere computed. It was indicated that there is a significant difference between mean Full scale IQ scores of adultswith Obsessive compulsive disorder (OCD) and schizophrenia. However an insignificant difference was foundbetween mean full scale IQ scores of adults with Major Depressive disorder and Obsessive compulsive disorder(OCD).Implication of the findings have also discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".