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Latent structure analysis of two-sway contingency table : a computer implementation / by Elmer D. Sangria and Romel Tapia Vicedo

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2003.Description: xvii, 83 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): DDC classification:
  • 001.422 Sa5 2003
Online resources: Production credits:
  • College of Arts and Sciences (CAS)
Abstract: SANGRIA, ELMER DIEZ and VICEDO, ROMEL TAPIA. “Latent Structure Analysis Of Two- Way Contingency Table : A computer Implementation”. Bachelor Of Science in Applied Mathematics. Physical Sciences Department, College of Arts and Sciences, Cavite State University, Indang, Cavite. April 2003. Adviser: Ms. Analiza S. Pacia. Latent Structure Analysis is a tool measuring unobserved or immeasurable variables. It also used to find an existing latent variable that would explain the relationship of the measurable or observed variables. With the existing latent variable defined by the observed variable, the related observed variables become independent. A program was created using SPSS (Statistical Packages For Social Sciences) that conducts latent structure analysis for a two- way contingency table. The program defines a latent variable with two and three latent classes. The significance of the model is tested using chi-square statistics. The ten significant variables (course, college, gender, registration status, high school award, preference in studying, choice of the course, affiliation to organization, number of students in the class, and high school GPA) are applied to test the success of the program.
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Special problem (BS Applied Mathematics--Statistics) Cavite State University.

Includes bibliographical references.

College of Arts and Sciences (CAS)

SANGRIA, ELMER DIEZ and VICEDO, ROMEL TAPIA. “Latent Structure Analysis Of Two- Way Contingency Table : A computer Implementation”. Bachelor Of Science in Applied Mathematics. Physical Sciences Department, College of Arts and Sciences, Cavite State University, Indang, Cavite. April 2003. Adviser: Ms. Analiza S. Pacia.

Latent Structure Analysis is a tool measuring unobserved or immeasurable variables. It also used to find an existing latent variable that would explain the relationship of the measurable or observed variables. With the existing latent variable defined by the observed variable, the related observed variables become independent. A program was created using SPSS (Statistical Packages For Social Sciences) that conducts latent structure analysis for a two- way contingency table. The program defines a latent variable with two and three latent classes. The significance of the model is tested using chi-square statistics. The ten significant variables (course, college, gender, registration status, high school award, preference in studying, choice of the course, affiliation to organization, number of students in the class, and high school GPA) are applied to test the success of the program.

Submitted to the University Library May 13, 2003 T-2555

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