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The contributions of this collection are threefold: integrating gender research and transport planning, combining quantitative and qualitative gender research perspectives and methods, and highlighting the need to acknowledge the politicization of transport planning and transport practice.
There was no evidence of qualitative gender differences.
A sex limitation model that includes qualitative gender differences is referred to as a 'general effects model' and can be specified to assume a (partially) different genetic or common environmental aetiology for males and females.
A sex limitation model that includes quantitative gender differences but no qualitative gender differences (i.e. has the same genetic and environmental aetiology but differences in magnitude for males and females) is referred to as the 'common effects model'.
It indicates that the no sex effects (sex homogeneity) model provides the best fit for all variables, suggesting that there were no quantitative or qualitative gender difference in aetiology.
First, we tested for qualitative gender differences, (i.e. whether the identity of the causal genes and environments were the same in men and women), by comparing correlations within same-gender and opposite-gender DZ pairs (because the only factor that is differentially shared is gender).
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Interestingly, Bayesian networks can simultaneously process quantitative data (creatinine, proteinuria) and qualitative data (gender).
Variables considered qualitative were gender (nominal scale), affected side (left/right) (nominal scale), Ahlbäck classification (ordinal scale), and continuous migration (nominal scale).
Comparison among qualitative variables (gender, type of work, socioeconomic level, endemic zone, age at the time of diagnosis, previous or coincident tuberculosis disease in each group, type of tuberculosis, type of TA according to the Numano classification, antecedent of familial tuberculosis and cause of death) was performed by Chi-square test or Fisher's exact test, as needed.
With a sample of twins reared together that includes opposite sex DZ pairs, it is possible to test for qualitative and quantitative gender differences in the aetiology of behaviour [ 37].
Although the related research output is constantly growing, no detailed global map of the scientific architecture has so far been created encompassing quantitative, qualitative, socioeconomic and gender aspects.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com