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Learning disabilities and intelligence test results: a principal components analysis of the British Ability Scales.

Two samples of children with reading difficulties--145 poor readers whose word reading was one standard deviation or more below the mean and 121 dyslexic children-were tested on the British Ability Scales. The purpose of the investigation was to examine whether they would score relatively poorly on verbal tests and relatively well on non-verbal tests along the lines suggested by Lawson & Inglis (1985). Also the question of sex differences was investigated. The BAS results tended to confirm the Lawson & Inglis finding that (1) children with learning disabilities in general have verbal deficits and show significantly higher performance on non-verbal tasks, and that (2) this tendency is more pronounced in males than in females. The results, although statistically significant, are not totally consistent either within or between samples. The discussion considers possible explanations for the findings and the possibility that different subgroups of these samples might show differential effects.

Adolescent↗

The correlation between the vestibulo-ocular system and the vestibulo-spinal system in Ménière's disease based on categorical principal component analysis.

Correlations among different equilibrium function tests were investigated in 130 patients with Ménière disease. The tests consisted of 22 different items, and the possible results could be put into a total of 49 categories. Using a factor analytic method, results falling in the positive area of the 1st axis indicate normality of the vestibular system, and results in the negative area, indicate an abnormality of the vestibular system. On the 2nd axis, the negative direction indicates an abnormality of the vestibulo-spinal system, and the positive direction an abnormality of the vestibulo-ocular system. In this paper, relationships among sex, age, the Cornell medical index results, and the time between the vertigo attack and testing, as well as between the onset of the disease and testing, are shown on a two-dimensional plane.

Adolescent↗

An expressive three-mode principal components model for gender recognition.

We present a three-mode expressive-feature model for recognizing gender (female, male) from point-light displays of walking people. Prototype female and male walkers are initially decomposed into a subspace of their three-mode components (posture, time, and gender). We then apply a weight factor to each point-light trajectory in the basis representation to enable adaptive, context-based gender estimations. The weight values are automatically learned from labeled training data. We present experiments using physical (actual) and perceived (from perceptual experiments) gender labels to train and test the system. Results with 40 walkers demonstrate greater than 90% recognition for both physically and perceptually labeled training examples. The approach has a greater flexibility over standard squared-error gender estimation to successfully adapt to different matching contexts.

Adult↗