Resumen:
The tracking of students who have graduated has being an activity carried out by the
universities; it has been a method to know the performance of their ex-students in
different areas. The information obtained through this activity can serve as a basis for
continuous improvement within the universities. However, and despite that this work is
the priority and the means by which they get, are stored and are entered in the system´s
computer, also are considered as priority.
Is for this reason that the present thesis work has done a correlational analysis by
calculating the Pearson and Spearman coefficients with the data obtained based on a
questionnaire for follow-up of graduates which was designed by the University UAEM
Valle de México, Mexico, in order to identify explanatory variables to appreciate where a
level of relevant correlation between any of these variables, and likewise denote which
questions are apt to be correlated.
Some of these findings suggest that there are questions that are candidates to be
correlated depending on their characteristics, but may not be considered as valid. As an
example the questions of income year and year of graduation of the students throw high
value correlation, whoever the data representing these questions are invalid according
to the detail of the linear correlation rules.
The above information has been possible to the development of software called
SINISEG (Integral Information System to Tracking of Student) which can cover both the
need to gather information through a questionnaire flexible or editable, as well as the
calculation of the already above mentioned coefficients: Filtering information and reports
via a module generation specific and independent in each case.