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Lad also reported a significant difference for gender between racial groups; however, although statistically significant on univariate analysis, gender played no role in predicting DRF in our models regardless of racial comparison model.
Partial correlations (controlling for gender) between proportion of hard task choices for each probability level and self-report measures of anhedonia, depression and positive affect appear in Table 3.
Partial correlations controlled for gender, between the BPRS items and the NPI-21 were examined with Pearson's correlation coefficients.
It is interesting to note that significant differences were found for gender between GP within the submucosal layer and exceeding the submucosal layer.
Our statistical analysis indicated that significant differences were found for gender between GP within the submucosal layer and exceeding the submucosal layer.
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Individually dummies for gender, between-study differences (Study characteristics) and radiation (which controls for one study performed on a population sample from Nagasaki and Hiroshima) all show significance (results not shown).
Looking at the addition of the group of attitude variables in Model 3, it can be seen that for both genders between-school variance increased slightly.
We accounted for gender discrepancies between the strains by including gender as covariant to the model.
Additionally we established measurement invariance for gender and between different age groups.
Multiple linear regression for total score and subscale scores are adjusted for gender differences between the groups.
Groups were balanced with respect to gender (14 males, 14 females per group) and body weight within gender (mean starting weights were typically within 0.3 g for either gender between groups).
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CEO of Professional Science Editing for Scientists @ prosciediting.com