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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          | Published in | Advances and applications in mathematical sciences Vol. 18; no. 2; pp. 197 - 204 | 
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| Main Author | |
| Format | Journal Article | 
| Language | English | 
| Published | 
        Allahabad
          Mili Publications
    
        01.12.2018
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| Subjects | |
| Online Access | Get full text | 
| ISSN | 0974-6803 | 
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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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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
| ISSN: | 0974-6803 |