Sentences with phrase «of gender variance»

About Blog My Genderation film project was set up to record the experiences and perspectives of gender variance.

Strang continued, «Children and adolescents with autism spectrum disorders may be less aware of the social restrictions against expressions of gender variance and therefore less likely to avoid expressing these inclinations.

«In ADHD, difficulties inhibiting impulses are central to the disorder and could result in difficulty keeping gender impulses «under wraps» in spite of internal and external pressures against cross-gender expression,» says Strang, who suggests that the coincidence of gender variance with ADHD and ASD could be related to the underlying symptoms of these neurodevelopmental disorders.

Not exact matches

The wish to be the other gender, known as gender variance, was assessed with the Child Behavior Checklist, one of the most commonly used behavioral report inventories for children and adolescents.

It supports previous studies that have shown increased levels of behavioral problems and / or disruptive disorders among young people with gender variance.

Preece, P. & Cairns, N. J. Quantifying mRNA in postmortem human brain: influence of gender, age at death, postmortem interval, brain pH, agonal state and inter-lobe mRNA variance.

A 2 × 2 (trial × gender) analysis of variance with repeated measures and appropriate post hoc was used to analyze the data.

The Humane Society of Boulder Valley offers equal employment opportunities to all qualified applicants and employees without regard to an individual's race, color, creed, sex, sexual orientation, gender variance, marital status, family status, age, national origin, disability, medical condition, ancestry, or military status.

Some of the more startling variances in the gender pay gap database belonged to Rockstar North and Sumo Digital.

I am a specialist in gender variance and experienced in assisting clients explore aspects of their gender identity.

Two (maltreated vs not maltreated) × 2 (gender) × 2 (white vs minority) analyses of variance were conducted to examine adolescents» adjustment as a function of early physical maltreatment, taking into account gender and ethnicity.

It was interesting to note that in our sample, only 25 % of the variance in child BMI at time 2 could be explained by the combined model of T1 child BMI, maternal BMI, age and education, and child age and gender.

(iii) Analyses of variance (ANOVAs)(or multivariate analyses of variance, MANOVAs, when we analysed an instrument with subscales, such as the YSR and the ITIA) were run on the outcome scale (or subscales), with intervention or not (SET or No - SET), number of years (t1, t2... t5) and student gender as independent variables.

Hierarchical regression analyses indicated that gender (females were less likely to be employed), IQ (lower IQ associated with unemployment), and transportation dependence accounted for 42 % of the variance in employment.

Main and interaction effects of gender, ETLE, and MAOA genotype on the physical aggression score were calculated by using three - way analysis of variance (ANOVA).

While controlling for location, gender, and ethnicity, regression analyses showed that family sanctions against smoking cigarettes and marijuana explained a modest proportion of the variance in substance use.

A multivariate analysis of variance, in fact, revealed a significant overall gender effect, Wilks» Lambda =.79, F (11, 611) = 14.77, p <.001.

When someone's outward expression of his / her identity differs from society's expectations of their behavior due to a variance in gender, gender identity and / or sexual orientation, this person may be ridiculed, harassed or teased by others.

A multivariate analysis of variance (MANOVA) then examined possible gender differences and also explored whether the two genders displayed different patterns of correlation among these measures.

This is in line with previous research (Gustafson & Rhodes, 2006) but augments the extant literature by demonstrating that support for PA explained further variance in MVPA above and beyond the contributions of BMI, gender, and parenting styles.

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.

Before discussing these results, it is worth noting that child BMI and gender explained a significant portion of the total variance in MVPA.

Block 1, investigating main effects (peer victimization, gender, parental and school support and psychosocial risk) accounted for 28 % of the variance in mental health problems.

Findings proved that gender, religion and ethnicity explained 6 % of the variance for attachment style, R =.259, R2 =.067, F (3, 238) = 5.616, p <.001.

Results affirmed that gender, religion and ethnicity could also explain 5 % of the variance for perceived stress, R =.234, R2 =.055, F (3,142) = 2.672, p <.05.

Results indicated that gender, religion and ethnicity explained 4 % of the variance for perceived social support; R =.220, R2 =.048, F (3,243) = 4.050, p =.008.

Additionally, to examine possible gender differences and age groups» interaction, a multivariate analysis of variance (MANOVA) was run with gender, ethnicity and religion and their interactions as independent variables and the attachment style, perceived stress and social support as dependent variables.

Results of multilevel analyses reveal that individual background characteristics (e.g., gender, social class, individual assessment of teacher - student relationships) explain more of the variance than school characteristics, including school climate.