Predictors of Engineering Licensure Examination Using Logistic Regression
Adrian M. Tamayo *
Quantitative Studies Section, Research and Publication Center, University of Mindanao, Philippines.
Rolieven Cañizares
Department of Electronics and Communication, College of Engineering, University of Mindanao. Philippines.
*Author to whom correspondence should be addressed.
Abstract
This study employed logistic and linear regression to determine strength of influence of grade point average (GPA), correlation course which is an intervention program offered in the University of Mindanao, Philippines, and the subject clusters of a board exam for admission to the profession of electronics and communication engineering.
The study covered periods from 2009 to 2011. Estimation revealed that the correlation course able to predict a board exam outcome than the GPA of the students. However, it was determined that safe GPA is 3.5; while 2.6 for the correlation course. This correlation course is a form of an intervention program that is added in the curriculum where students need to complete and pass.
The electronics and communication engineering program of the University of Midnanao, Philippines offer quality academic training in mathematics and electronics while finds difficulty on applied electronics and electronics science and technology.
A simulation revealed the safe scores for a 100-item board exam subjects: mathematics (65); electronics (65); general electronics and applied science (75); and electronics technology and science (75).
The board performance of the program seemed to show a rather erratic movement which indicates loose foothold toward the exam.
Keywords: Licensure, intervention, logistic regression