Sentences with phrase «gender differences in the size»

The position of head restraints, for example, tended to favor men, and did not account for gender differences in the size and strength of the neck.

Not exact matches

That massive disparity is due both to the differences in the number of deals and the average deal size by gender.

Furthermore, results and generalizations are complicated by differences in age, gender, health status, and serving size.

A gendered difference in sexual behaviour of this size has only been observed for Muslim populations.

However, these standards don't account for differences in size (the average person is now taller and heavier), body composition (fat versus lean), age (older people have slower metabolisms), activity levels and gender: Women radiate as much as 35 percent less energy than the standard man.

For example, it can tell us that race and gender differences in brain size are unrelated to intelligence.

These maps, they say, will show everything from relative sizes of anatomical features to differences in brains associated with age, race, gender, educational background, genetic composition, and other distinguishing characteristics.

Director Adam Shankman's film (a remake of the ’88 original and based on the ’02 Tony - Winning Broadway musical) shows that people of any age, size, race or gender matter — when it comes to pursuing your dreams, falling in love, and making a difference in society.

Given the limited size of our New York City sample, we could examine differences only in outcomes in terms of gender.

With regards to gender differences, male Golden Retrievers are typically bigger in size than female ones.

You gave me some reading to do that will take some time (I appreciate it) but in the meantime do you mean that the requirements you listed get violated that more often by men than by women so they might contribute to explain the size of the gender difference in who pays alimony to the other spouse?

Limitations include small sample size, issues with the randomization of participants that resulted in differences between the groups at baseline, reliance on self - reported measures as reduction in symptoms were significant for adolescent reports but not for parent report, and generalizability due to the primarily female participant gender.

The schools varied in size and location (urban / rural), however, there was no significant difference between the intervention and control groups in terms of gender, school location (rural or urban) and multigrade class (multiple classes in one class unit or single class unit).

In terms of gender differences, males had higher levels of ODD and ADHD symptoms in early childhood and they reported higher levels of substance use in adolescence and of APP in young adulthood (2.63 ≤ ts ≤ 3.50, p < 0.01; effect sizes for these comparisons measured as Cohen's d: 0.26 ≤ ds ≤ 0.39In terms of gender differences, males had higher levels of ODD and ADHD symptoms in early childhood and they reported higher levels of substance use in adolescence and of APP in young adulthood (2.63 ≤ ts ≤ 3.50, p < 0.01; effect sizes for these comparisons measured as Cohen's d: 0.26 ≤ ds ≤ 0.39in early childhood and they reported higher levels of substance use in adolescence and of APP in young adulthood (2.63 ≤ ts ≤ 3.50, p < 0.01; effect sizes for these comparisons measured as Cohen's d: 0.26 ≤ ds ≤ 0.39in adolescence and of APP in young adulthood (2.63 ≤ ts ≤ 3.50, p < 0.01; effect sizes for these comparisons measured as Cohen's d: 0.26 ≤ ds ≤ 0.39in young adulthood (2.63 ≤ ts ≤ 3.50, p < 0.01; effect sizes for these comparisons measured as Cohen's d: 0.26 ≤ ds ≤ 0.39).

MANCOVA (covarying for any between group differences in age, gender, race, and parent occupation) and Cohen's d effect size statistic were used to investigate differences between groups on nighttime sleep problems.

Given that the subgroups of men and women differed substantially in size (i.e., 263 men vs. 847 women), and given poor robustness of t - tests with very different group sizes, we tested the statistical significance of gender differences using t ′, which assumes lack of homogeneity of variance.