A Factor analysis on the course preference of fourth year student among selected public high schools in Cavite / Justina M. Asuncion and Gerlie A. Digo.
Material type: TextLanguage: English Publication details: Indang, Cavite : 2005. Cavite State University- Main Campus,Description: xii, 43 pages : illustrations ; 28 cmContent type:- text
- unmediated
- volume
- 519.5 As9 2005
- College of Arts and Science (CAS)
Item type | Current library | Collection | Call number | Materials specified | URL | Status | Notes | Date due | Barcode |
---|---|---|---|---|---|---|---|---|---|
Theses / Manuscripts | Ladislao N. Diwa Memorial Library Theses Section | Non-fiction | 519.5 As9 2005 (Browse shelf(Opens below)) | Link to resource | Room use only | SP-2988 | 00004265 |
Special Problem (BS Applied Mathematics - - Statistics) Cavite State University.
Includes bibliographical references.
College of Arts and Science (CAS)
ASUNCION, JUSTINA MAALA and DIGO, GERLIE ANARNA. A Factor
Analysis on the Course Preference of Fourth Year Students among Selected Public High Schools in Cavite". BS Applied Mathematics. Cavite State University, Indang. Cavite. April 2005. Adviser: Mrs. Jennifer R. Mojica.
The study entitled "A Factor Analysis on the Course Preference of Fourth Year Students among Selected Public High Schools in Cavite" was conducted in selected public high schools in Cavite from January to February 2005. This study aimed to I) assess whether Cavite State University caters to the need of the community; 2) identify the major courses preferred by fourth year high school students; and; 3) assess the level of factors that affect the students' course preference.
A total of 230 respondents of whom 104 were males and 126 were females were considered in this study.
The study revealed that the respondents preferred the following courses: Nursing, Engineering, Computer Science, Accountancy, Computer Secretarial and Education. The study also showed that the university caters to 63.33 percent of the courses preferred by the students.
For factor analysis, six factors were extracted using principal component method. The analysis and evaluation findings revealed that the strongest factor affecting the course preference of the respondents was the family factor. The substantial loading of this factor on number of siblings and household size were indicative of its importance as a determinant and predictor of course preference.
Submitted to the University Library 04/13/2005 SP-2988