keep one’s job, namely when in academic trajectories. But against which
price? Despite other both direct and opportunity costs, e.g. time to family,
time to themselves... which we will not deal with in this paper, one major
inequity issue arrives to women intending to undergo a MSc., according to
the Contingency Analysis we have developed: they will take longer than
men and have to face family’s lack of support most of times. We will try to
confirm now this time pattern and associate restrictions throughout a Cox
Regression applied to the Hazard Model we developed in Section 3, a more
robust statistical tool than Contingency Analysis we carried for initial
exploratory purposes.
Once again, we must emphasize that sample dimension strictly
prevents us from generalizing to the whole Portuguese context anyone of
the eventual outcomes. Nevertheless we esteem most results we obtained
throughout the Cox Regression (CR) adjustment to be quite interesting and
expect they will stimulate further research on these features on the basis of
more robust and desirably nationally representative data.
We adjusted CR for the 108 individuals (47 males and 61 females)
who had completed MSc. by the time of the survey. From among all the
adjustments we essayed and for which Qui-square test proved to be
statistically acceptable we have chosen the best one to illustrate the
relationships at stake. The corresponding Survival Table is the following
(see also Appendix for general computation):
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