Factor analysis programming and application
Date
4-1972
Degree
Bachelor of Science in Applied Mathematics
College
College of Agriculture and Food Science (CAFS)
Adviser/Committee Chair
Manuel M. Manuel, Jr.
Abstract
Maximum Likelihood factor analysis was illustrated and applied to socio-economic data. Principal axis eigenvectors were used as the first approximation of the maximum likelihood factor loadings.
The correlation matrix showed that most variables were uncorrelated. This explained why nine significant factors were found from nine variable at one percent level of significance.
A fORTRAN II program for the IBM 1620 and its auxillaries was designed to carry out the required computations.
Language
English
Location
UPLB Main Library Special Collections Section (USCS)
Call Number
Thesis
Recommended Citation
Aban, Marceliano M., "Factor analysis programming and application" (1972). Undergraduate Theses. 3146.
https://www.ukdr.uplb.edu.ph/etd-undergrad/3146
Document Type
Thesis