Análisis correlacional como medio para la identificación de variables explicativas en un cuestionario para el seguimiento a egresados mediante un sistema de información

Abstract

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.