The use of multiple discriminant analysis in differentiating self-employed from non-self-employed graduates of the Sanayan sa Kakayahang Agrikultura (SAKA) program

Date of Publication


Document Type

Master's Thesis

Degree Name

Master of Science in Economics

Subject Categories

Agribusiness | Agricultural Economics | Agricultural Education


School of Economics



Thesis Adviser

Rolando Delfino

Defense Panel Chair

Dakila Francisco

Defense Panel Member

Dr. Tereso S. Tullao, Jr.
Mila Beltran


Statement of the Problem: Main Problem: Barely a little over than 50 percent of the SAKA graduates are only implementing their enterprise plans and are engaged in farm entrepreneurship activities. Sub-Problem: The study specifically tackled the following research problem areas: Was the implementation by the students of their back-to-farm plan enterprise plans a significant variable in enabling them to be self-employed? Did the student's school and length of stay in the SAKA Program matter in their-employment status? Were the self-employed graduates the sons and daughters of farmers? the eldest in the family? has a greater number of dependents? stayed longer in their place of residence? older than the non-self-employed? male and single? What combination of socio-demographic and economic characteristics differentiate and discriminate graduates who are self-employed and not self-employed? Procedure: All information pertinent to this study was obtained from the 1992 survey of the SAKA Program graduates which was undertaken by the Technical Panel for Agricultural Education under a grant from the Bureau of Technical and Vocational Education. The sampling frame was the 133 SAKA Program graduates of Don Severino Agricultural College (31) and the Pampanga Agricultural College (102) from 1985 to 1991. These graduates completed either the Certificate in Agricultural Technology and Management (CATM) or the Diploma in Agricultural Technology (DAT) curriculum. The identification of groups and variables were made. The groups represented the employment status of the SAKA graduates, namely: self-employed and non-self-employed. The socio-demographic and economic variables served as the basis for differentiating the groups of graduates.

Treatment of Data: The analysis of the SAKA graduates were approached in two ways, namely: categorical/discrete and continuous variables. The categorical variables were as follows: sex, civil status, rank in the family, parents' occupation, type of proposed farm business project, school attended. SAKA course program taken, implementation of the back-to-farm enterprise plan, and the feeling of being economically stable. On the other hand, the continuous variables were age, years of residence in birthplace, number of brothers and sisters, number of dependents, number of additional and earning farm and farm-related business, estimated worth of assets acquired by the SAKA graduates, monthly salary of spouse, monthly gross income earned from farm and farm-related business projects/monthly salary of the SAKA graduates, joint monthly gross income of spouse and graduate, and waiting time in organizing business/getting employed. These variables were subjected to different multivariate statistical techniques, namely: correlation analysis, regression analysis, multiple discriminant analysis, and tests of proportions. Findings: Seventy-three out of 133 SAKA graduates are self-employed. Two-thirds of the self-employed were able to implement their back-to-farm enterprise plans. About 70 percent of the CATM graduates are self-employed. There are proportionately more self-employed who are males, 20-25 years old in age, sons/daughters of farmers, 20-25 years in place of residence, and supporting 0-2 dependents. High-income earners are engaged in crop farming, with an average starting capital of P27,310, an average percentage of capital financed by debt of 54 percent, and an average monthly gross income of P4,070.

Abstract Format






Accession Number


Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

[131] leaves


Discriminant analysis; Agriculture -- Study and teaching; Agricultural students; Self-employed; Sanayan sa Kakayahang Agrikultura (SAKA); Log-linear models

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