REGRESSION MODEL OF THE LICENSURE EXAMINATION PERFORMANCE OF ELECTRONICS ENGINEERING GRADUATES IN A STATE COLLEGE IN THE PHILIPPINES

This study utilized a correlational method to explore the academic predictors of performance in the licensure examination for electronics engineering graduates of Camarines Sur Polytechnic Colleges (CSPC). Descriptive statistics, Pearson's correlation and multiple regression were used to analyz...

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Bibliographic Details
Published inAdvances and applications in mathematical sciences Vol. 18; no. 2; pp. 197 - 204
Main Author Terano, Harold Jan R
Format Journal Article
LanguageEnglish
Published Allahabad Mili Publications 01.12.2018
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ISSN0974-6803

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Summary:This study utilized a correlational method to explore the academic predictors of performance in the licensure examination for electronics engineering graduates of Camarines Sur Polytechnic Colleges (CSPC). Descriptive statistics, Pearson's correlation and multiple regression were used to analyze the licensure examination ratings, academic performances and pre-board examination performances of 106 electronics engineering graduates from years 2014-2017. Findings showed that academic performances and pre-board examination performances were good predictors of the graduates' achievement in the licensure examinations. Regression model was developed and may be adopted in predicting the ratings in the electronics engineering licensure examinations.
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ISSN:0974-6803