Success Under Pressure: A Probabilistic Analysis of the Predictors of the Licensure Examination for Teachers (LET) Results

I.S. Somosot¹ , J.R.V. Duran² , B.T. Rodriguez³

Section:Research Paper, Product Type: Journal-Paper
Vol.8 , Issue.4 , pp.15-20, Apr-2022

Online published on Apr 30, 2022

Copyright © I.S. Somosot, J.R.V. Duran, B.T. Rodriguez . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
One of the important roles of Higher Education Institutions is to produce competent graduates who become future leaders in teacher education and fisheries technology. The study aimed to determine which predictors significantly influenced the licensure examination for teachers (LET) result. The research employed a quantitative research design and 337 LET takers from DNSC from 2015- 2019 were investigated. The study used admission test scores, academic performance, and LET results. Data were treated using frequency, Spearman’s correlation, and binary logistic regression. It is revealed that the majority of LET takers who entered teacher education got an average entrance test score and very good academic performance Study revealed that 89.9% of the LET takers passed the exam. The study confirmed that there was a weak, positive monotonic correlation between entrance test scores and LET results, and academic performance and LET results. It is concluded that of the two variables, statistically, only the admission test score has the likelihood to influence the LET results. It is suggested that schools offering Teacher Education Programs consider accepting students with high admission test scores since the study confirmed that for every 1-point increase of the admission test score, the likelihood that the LET average score increase by approximately 2. Further investigation may consider and explore using other research designs and variables which is not included in the variables under investigation

Key-Words / Index Term :
admission test score, academic performance, binary regression, LET, quantitative research, Philippine

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