Data analysis of CvSU faculty scholars towards achieving excellence a model building approach / by Jonhrielbert C. Balucan, Christin T. Cañeso and Yla Mae O. Mensurado.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Indang, Cavite : 2018. Cavite State University- Main Campus,Description: xvii, 52 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): DDC classification:
  • 378.125  M52 2018
Online resources: Production credits:
  • College of Arts and Science (CAS)
Abstract: BALUCAN, JONHRIELBERT C., CARESO, CHRISTIN T., and MENSURADO, YLA MAE 0. Data Analysis of CvSU Faculty Scholars Towards Achieving Excellence: A Model Building Approach. Undergraduate Thesis. Bachelor of Science in Applied Mathematics with specialization in Statistics. Cavite State University, Indang, Cavite. June 2018. Adviser: Prof Analyn A. Mojica. The study entitled "Data Analysis of CvSU Faculty Scholars Towards Achieving Excellence: A Model Building Approach" was conducted at Cavite State University (CvSU) — Main Campus from October 2017 to March 2018. The general objective of the study was to formulate a model on the performance of Cavite State University Scholars under the Faculty and Staff Development Program. Specifically the study aims to: determine the demographic profile of CvSU faculty scholars; determine the performance of the faculty scholars in relation to their graduate studies; identify significant variables in predicting the success among faculty scholars in their graduate studies; identify competing model(s) by using Multinomial Logistic Regression; develop the best model based on the model adequacy measure; and predict the performance of CvSU Faculty Scholars based on the identified success indicators. Among the predictor variables, only two were found to be significant for determining the performance of CvSU faculty scholars in achieving excellence. Civil status and gap between the year his current degree started to his previous degree finished was found to be a good predictor of success in the performance of the faculty scholars. Three logit models were formulated under Civil Status and Gap namely for "satisfactory", "outstanding" and "excellent" which are as follows: logit [,ys] = 5.704 — 2.344(x2)— 0.088(a) logit [10] = 7.739 — 3.073(x2)— 0.243(a) logit = 10.642 - 4.143(x2) — 0.381(a) Having single as their civil status and the gap between the year his current degree started to his previous degree finished will not be greater than 7 years resolved 56.22% of chance that the scholar can finish the degree on time while on the other hand deemed either outstanding or satisfactory rate.
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Theses / Manuscripts Theses / Manuscripts Ladislao N. Diwa Memorial Library Theses Section Non-fiction 378.125 M52 2018 (Browse shelf(Opens below)) Link to resource Room use only T-7716 00011844

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

Includes bibliographical references.

College of Arts and Science (CAS)

BALUCAN, JONHRIELBERT C., CARESO, CHRISTIN T., and MENSURADO, YLA MAE 0. Data Analysis of CvSU Faculty Scholars Towards Achieving Excellence: A Model Building Approach. Undergraduate Thesis. Bachelor of Science in Applied Mathematics with specialization in Statistics. Cavite State University, Indang, Cavite. June 2018. Adviser: Prof Analyn A. Mojica.
The study entitled "Data Analysis of CvSU Faculty Scholars Towards Achieving Excellence: A Model Building Approach" was conducted at Cavite State University (CvSU) — Main Campus from October 2017 to March 2018. The general objective of the study was to formulate a model on the performance of Cavite State University Scholars under the Faculty and Staff Development Program. Specifically the study aims to: determine the demographic profile of CvSU faculty scholars; determine the performance of the faculty scholars in relation to their graduate studies; identify significant variables in predicting the success among faculty scholars in their graduate studies; identify competing model(s) by using Multinomial Logistic Regression; develop the best model based on the model adequacy measure; and predict
the performance of CvSU Faculty Scholars based on the identified success indicators.
Among the predictor variables, only two were found to be significant for determining the performance of CvSU faculty scholars in achieving excellence. Civil status and gap between the year his current degree started to his previous degree finished was found to be a good predictor of success in the performance of the faculty scholars. Three logit models were formulated under Civil Status and Gap namely for "satisfactory", "outstanding" and "excellent" which are as follows: logit [,ys] = 5.704 — 2.344(x2)— 0.088(a) logit [10] = 7.739 — 3.073(x2)— 0.243(a) logit = 10.642 - 4.143(x2) — 0.381(a) Having single as their civil status and the gap between the year his current degree started to his previous degree finished will not be greater than 7 years resolved 56.22% of chance that the scholar can finish the degree on time while on the other hand deemed either outstanding or satisfactory rate.

Submitted copy to the University Library. 11/26/2018 T-7716

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