Logistic regression analysis in determining the likelihood of BS Agriculture graduates to pass the licensure examination / by Reizon R. Jimenez, Justin Kim V. Macaspas and John Renz T. Flurague.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2018.Description: xiii, 45 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): DDC classification:
  • 519.536  J56 2018
Online resources: Production credits:
  • College of Arts and Sciences (CAS), Department of Social Sciences and Humanities
Abstract: REIZON R. JIMENEZ, JUSTIN KIM V. MACASPAC and JO 1.! N RENZ T. LURAGUE. Logistic Regression Analysis in Determining the Likelihood of BS Agriculture Graduates to Pass the Licensure Examination. Undergraduate Thesis. : Bachelor of Science in Applied Mathematics with specialization in Statistics Cavite State University, Indang, Cavite. May 2018. Adviser: Ms. Rachel Mae 0. Panganiban. The study entitled Logistic Regression Analysis in Determining the Likelihood of I: S Agriculture Graduates to Pass the Licensure Examination was conducted at Cavite State University, Indang, Cavite. The study aims to (1) present the demographic profile of agriculture students who took the board examination in S.Y. 2014-2016; (2) identify the factors that are related to the performance of the student in the board examination; and 3) formulate a logistic regression model to predict the performance of the BS Agriculture students in the board examination from August to April 2018. Binary logistic regression analysis was used in this study. The participants of the study were composed of BS Agriculture graduates of Cavite State University, Indang, Cavite who took the board examination from 2014 to 2016. Secondary data were taken from the University Registrar's Office for those who took the board examination last June 2014, June 2015 and October 2016, together with the result of the board examination. On the other hand, the rating score were taken from the Professional Regulation Commission Stratified random sampling was used in this study A total of 83 graduates are considered. The variables used for this study are classification of the students based on the result of board exam (passed or failed) as the dependent variable, and gender scholarship, review center attendees, and their performance in college as independent variables. The gender, scholarship, enrollment in a review center, and college performance S f 83 Agricultural Board Examination takers was used as the predictor variables for this study. Their college performance was defined as 0 if they are without honor and 1 if they graduated with honors. The significant association between the dependent and independent variables was tested using crosstab and Chi-square test for independence. The formulated logistic regression model shows that if the students is an enrollee of a certain review center, e/she is more likely to perform better in the board examination.
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Theses / Manuscripts Theses / Manuscripts Ladislao N. Diwa Memorial Library Theses Section Non-fiction 519.536 J56 2018 (Browse shelf(Opens below)) Link to resource Room use only T-7791 00077251

Thesis (Bachelor of Science in Applied Mathematics) Cavite State University.

Includes bibliographical references.

College of Arts and Sciences (CAS), Department of Social Sciences and Humanities

REIZON R. JIMENEZ, JUSTIN KIM V. MACASPAC and JO 1.! N RENZ T. LURAGUE. Logistic Regression Analysis in Determining the Likelihood of BS Agriculture Graduates to Pass the Licensure Examination. Undergraduate Thesis. : Bachelor of Science in Applied Mathematics with specialization in Statistics Cavite State University, Indang, Cavite. May 2018. Adviser: Ms. Rachel Mae 0. Panganiban.
The study entitled Logistic Regression Analysis in Determining the Likelihood of I: S Agriculture Graduates to Pass the Licensure Examination was conducted at Cavite State University, Indang, Cavite. The study aims to (1) present the demographic profile of agriculture students who took the board examination in S.Y. 2014-2016; (2) identify the factors that are related to the performance of the student in the board examination; and 3) formulate a logistic regression model to predict the performance of the BS Agriculture students in the board examination from August to April 2018. Binary logistic regression analysis was used in this study. The participants of the study were composed of BS Agriculture graduates of Cavite State University, Indang, Cavite who took the board examination from 2014 to 2016. Secondary data were taken from the University Registrar's Office for those who took the board examination last June 2014, June 2015 and October 2016, together with the result of the board examination. On the other hand, the rating score were taken from the Professional Regulation Commission Stratified random sampling was used in this study A total of 83 graduates are considered. The variables used for this study are classification of the students based on the result of board exam (passed or failed) as the dependent variable, and gender scholarship, review center attendees, and their performance in college as independent variables. The gender, scholarship, enrollment in a review center, and college performance S f 83 Agricultural Board Examination takers was used as the predictor variables for this study. Their college performance was defined as 0 if they are without honor and 1 if they graduated with honors. The significant association between the dependent and independent variables was tested using crosstab and Chi-square test for independence. The formulated logistic regression model shows that if the students is an enrollee of a certain review center, e/she is more likely to perform better in the board examination.

Submitted to the University Library April 22, 2019 T-7791

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