Predictors of Passing Probability in the Licensure Examination for Selected Programs in the University of Southeastern Philippines

Callena, Eleonor; Gabales, Bonifacio; Tutor, Rosalinda; Villanueva, Shirley; Gonzales, Christopher; Vera, Angel de; Caberte, Sheila; Nillas, Virginia Barbara; Acerbo, Jay; Pantaleon, Anastacio

doi:10.53899/spjrd.v24i1.12

Cited by 4 publications

(7 citation statements)

References 11 publications

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“…In a broader context of licensure examination, these results conform with past findings from a vast number of literature that undergraduate academic performance in professional courses are a significant predictor of licensure examination results for teachers & de la Rama, 2018; Callena et al, 2019;Amanonce & Maramag, 2020;Angeles, 2020;Orlanda-Ventayen, 2020;Cahapay, 2021;Ibarrientos, 2022;Somosot et al, 2022), engineers (Dayaday, 2018;Terano, 2018;Maaliw, 2021), accountants (Salcedo et al, 2021), agriculturists (Dagdag, 2018), radiologic technologists (Alipio, 2020), and nurses (Llego et al, 2020). In a different context of the test result, the findings on GPA negate a more recent exploration of psychological test results (Aure & Casinillo, 2020).…”

Section: First Binomial Logistic Regression Analysis Modelsupporting

confidence: 85%

Academic Predictors of Performance in the Board Licensure Examination for Psychometricians

Pangngay

Merza

Almojuela

2023

PSSJ

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In relation to the adherence of Higher Education Institutions (HEIs) offering undergraduate psychology programs to excellent standards of education as translated in the Board Licensure Examination for Psychometricians (BLEP), this study aimed to analyze the predictors of BLEP performance as inputs to curriculum and instruction quality assurance. This study employed a descriptive-quantitative design and collected data using an online survey and data mining. Results from one private-sectarian HEI show that general academic performance – specifically in Theories of Personality, Abnormal Psychology, Industrial Psychology, and Dynamic Psychology courses – were significant predictors of BLEP performance, suggesting that better undergraduate academic performance leads to better BLEP performance. These results highlight the need for enhancing the curriculum and instruction in response to the demands of various regulatory and quality assurance bodies in ensuring that the mandate of HEIs to produce high-quality professionals is achieved through a curriculum-based course audit for review classes and intensified instruction.

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Section: First Binomial Logistic Regression Analysis Modelsupporting

confidence: 85%

Academic Predictors of Performance in the Board Licensure Examination for Psychometricians

Pangngay

Merza

Almojuela

2023

PSSJ

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“…Using the output models and equations, the students can easily identify their predicted licensure examination performance integrating their academic records from the school and likely will give them proper motivation to improve. Callena et al (2019) states that performance of higher education institutions in licensure examinations is reflective of the effectiveness of their curricular programs. This study employed a causal design to evaluate graduates' academic attributes that can potentially determine the likelihood of passing the state-administered board examinations.…”

Section: Licensure Exam Performancementioning

confidence: 99%

“…Findings of Callena et al (2019) study offered observations worth-considering in terms of the improvement of program delivery in the university. The positive significant influence of USePAT in both Civil and Electrical Engineering in the main campus and of the High School GPA for Forestry program in Tagum Campus support the predictive validity of the entrance examination and the admission policy set by the university.…”

Section: Licensure Exam Performancementioning

confidence: 99%

Performance of Civil Engineering Graduates in a Private University on Licensure Examinations from 2016 to 2019

C. Saguibo,

Lejano,

N. Fernando,

2023

IJSMR

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The research assessed how well graduates with a Bachelor's degree in Civil Engineering from a private university in Isabela performed in the licensure examination from 2016 to 2019. According to the data, candidates exhibited a low level of performance in the Licensure Examination from 2016 to 2019 with only two out of eight (2/8) batches that performed higher than the national passing rate. The first-time examinees’ institutional passing rates got lower when compared to the national passing rates. The re-takers institutional passing rates also got lower performance when compared with the national passing rates. The variance of performance of the first-time examinees is superior compare to the re-takers in the Licensure Examination for Civil Engineers. The examinees find Structural and Construction subject as the most difficult to answer in the Licensure Examination for Civil Engineers followed by Mathematics and Surveying, and Hydraulics and Geotechnical Engineering as the easiest one. There is no significant difference in the performance of the graduates of Civil Engineering Program in a private university of Isabela in the Licensure Examination for Civil Engineers from 2016 to 2019. The researcher proposed several specific activities to improve the performance of the graduates of the Civil Engineering Program in the Licensure Examination.

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“…Poso (2020) utilized an Artificial Neural Network model to predict the performance of civil engineering students, with the Levenberg-Marquardt algorithm being a key component. Callena (2019) evaluated the predictors of passing probability in licensure examinations, finding that performance indicators varied across programs. As such, with these studies shows the potential of predictive modeling in forecasting licensure examination performance.…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling for Criminology Licensure Examination Success Through Mathematical Modelling

Mitra,

David,

Pascual

2024

Int. J. Res. Publ. Rev.

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Education is a cornerstone of societal progress, and the success of academic programs hinges on the performance of its students. In the field of Criminology, where analytical thinking, critical reasoning, and a deep understanding of societal dynamics are paramount, predicting and improving student performance holds particular significance. This research paper aims to developed a predictive model for forecasting the performance of Criminology students in their licensure examination. As such, the result of this study reveals that the forecasted criminology licensure examination (CLE) ratings for next two examination dates show a large difference in with an anticipated low passing rate on the first date, rising significantly on the second date. Thus, with this predictive rating performance of Criminology students in their licensure examination, this result now offers a valuable tool for the institution and policymakers to implement targeted interventions, ultimately enhancing the overall academic outcomes of Criminology students.

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Predictors of Passing Probability in the Licensure Examination for Selected Programs in the University of Southeastern Philippines

Cited by 4 publications

References 11 publications

Academic Predictors of Performance in the Board Licensure Examination for Psychometricians

Academic Predictors of Performance in the Board Licensure Examination for Psychometricians

Performance of Civil Engineering Graduates in a Private University on Licensure Examinations from 2016 to 2019

Predictive Modeling for Criminology Licensure Examination Success Through Mathematical Modelling

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