- indicators on own previous trajectory, such as field of study
during secondary education, graduation field and higher
graduation institution, situation towards work during
graduation, reasons and motivation for having undergone
post-graduation studies;
- characterisation of the employment and/or unemployment
situation(s) prior to and at the time when the decision
concerning post-graduation had been taken;
- indicators on work and family characteristics (e.g. kind of
occupation, activity sector, contractual situation... and living
or not in a couple/in common with parents, number of
children and other dependents if so.) during post-
graduation time intervals;
- degree of satisfaction and self fulfilment with either MSc’s,
PhD’s, or both, curricula, pedagogical methodologies,
contribution to skills and knowledge improvement;
- satisfaction degree relatively to the work and career
situation as a consequence and/or after the post-graduation
having been achieved.
Contingency Analysis between graduation area and sex reveals an
extremely high association between both variables, with a Qui-square
significance level equal to 0 and a contingency coefficient higher than
55%; actually, we found no women graduate in Electronics and
Automation, whenever no man did graduate in Educational Sciences in our
sample... Nevertheless, we must be cautious and make no generalizations to
the Portuguese situation because of data restrictions we have been
referring.
19