Research projects

Project CEMAPRE internal

TitleStatistical modelling in Education: multilevel models applied to large and complex data - year two
ParticipantsMaria Eugénia Ferrão (Principal Investigator)
SummaryThis project extends the one implemented in 2016 and is focused on the analysis and modeling of
higher education data. Success in higher education is a topic of growing interest in Portugal and in
many other countries. Quantitative-based scientific research generally uses dropout or the number of
years to complete the course as variables to measure student and system success. Rarely, the
hierarchical structure of the data is incorporated into the statistical modeling. The main objective
of this project is the quantification of the long-term school effect on the academic success in
higher education.