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As noted previously, Inglis et al. (1982) found results that closely paralleled McGlone s (1977, 1978) dramatic gender-related interaction. They controlled for type of brain damage by including in their sample only right-handed, nonaphasic patients who had experienced a single thrombotic cerebrovascular accident (stroke), whose medical condition had stabilized, and who had experienced no other neurological disorder. Each group (i.e., males with right-brain lesions, females with left-brain lesions, etc.) was equally divided among

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profile, but the magnitude was only 1.3 points; females with left-hemisphere lesions had the opposite profile, V > P of 6.3 points. The righthemisphere lesions produced an even larger gender difference: Males had a V > P pattern of 23.9 points and for females the value was 10.5 points.

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c# remove text from pdf

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In their meta-analysis of gender differences, Inglis and Lawson (1982) identified numerous Wechsler-Bellevue and WAIS studies of patients with unilateral brain damage that reported the proportions of males and females constituting the samples. They identified 15 such publications, including 3 that provided separate data for males and females. The authors then studied the 22 samples reported on in the 15 studies, computing the percentage of males in each group. These percentages ranged from zero for the all-female samples to 100 for the all-male samples and were spread fairly well across the entire range. Inglis and Lawson (1982) hypothesized that P > V for left-damaged patients would be higher for males than females, and that V > P for rightdamaged patients would likewise be higher for males than females. Consequently, they predicted significant positive correlations between the percentage of males in left-lesioned samples and the mean P > V discrepancies for those samples. Analogously, they anticipated significant positive correlation between the percentage of males in right-lesioned samples and the mean V > P discrepancies for those samples. Their reasoning was sensible: If males tend to show the predicted relationship between V P IQ difference and leftversus right-brain damage, but females do not, the samples with many females should evidence smaller V P differences in the predicted direction than the samples with few females. Inglis and Lawson s (1982) meta-analysis supported their hypotheses. For left-brain-damaged adults, mean P > V discrepancies correlated .53

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with percentage of males in the samples; for right-brain-damaged patients, mean V > P difference scores correlated .46 with percentage of males. When the patient samples are combined, V P differences correlated .48 with the percentage of males. All of these correlations are statistically significant. The results indicate that gender of the brain-damaged patients accounts for about 25% of the variance in the V P IQ discrepancy scores. In view of the impact of other variables on the size of V P discrepancy for adults with unilateral brain damage (e.g., age, precise location of lesion, cause of damage), the relationships found by Inglis and Lawson for the variable of gender are substantial, noteworthy, and clinically valuable.

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Bornstein and Matarazzo (1982) reviewed a large number of Wechsler-Bellevue and WAIS studies with patients having unilateral brain damage, paying particular attention to Inglis and Lawson s (1982) conclusions about gender differences, but also addressing other variables like location of the lesion and diagnostic etiology. They concluded that there is support for lowered V-IQ in patients with left damage, and a corresponding lower P-IQ for right-damaged adults. However, they conceded that these laterality findings will more likely be seen in male patients than in female patients (p. 329). Bornstein and Matarazzo (1982) pointed out that two of the major negative studies regarding laterality of brain damage and V P difference, the large-scale investigations conducted by Smith (1966a, 1966b) and by Todd et al. (1977), had proportions of females that were in the 35 40 age range. They hypothesized that the high percentages of females in these studies may have been partially responsible for the negative findings, although they noted that data provided by Todd et al. (1977) make the gender explanation for that study unlikely. Indeed, Todd et al. conducted an

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c# remove text from pdf

itextsharp remove text from pdf c#

c# remove text from pdf

itextsharp remove text from pdf c#

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

c# remove text from pdf

itextsharp remove text from pdf c#

itextsharp remove text from pdf c#

itextsharp remove text from pdf c#

itextsharp remove text from pdf c#