CERTAIN FACTORS THAT INFLUENCE THE EFFECTIVENESS OF RISK MANAGEMENT IN SECONDARY SCHOOLS UNDER JURISDICTION OF KALASIN PROVINCAIL ADMINISTRATIVE ORGANIZATION OFFICE

Abstract

This study attempted to investigate certain factors that influenced the effectiveness of risk management in the schools under jurisdiction of Kalasin Provincial Administration Organization Office, and construct prediction equations concerning the factors that affected the effectiveness of risk management in these schools. The samples of the study were 220 people comprising the administrators and the teachers from twelve different schools. The samples were selected by the stratified sampling technique. The research tool was a questionnaire composed of two parts including 1)certain factors affected the effectiveness of risk management in schools, and 2) the effectiveness of risk management in schools. This questionnaire comprised 72 questions. It obtained the discrimination ranging from .64 to .92 and the reliability of .99. The statistics employed were percentage, mean, standard deviation, Pearson product moment correlation, and stepwise multiple regression analysis.

It was found that:1) The factors: frequent supervision follow-up and evaluation (X₅), organizational culture (X₇), cooperation and unity of the staff (X₄), supports from administrators (X₁), effective communication (X₃), personnel development on risk management (X₆), and information technology for communication (X₂) all had positive relations with the effectiveness of risk management, statistically significant at the .01 level.

2) The variables predicting the effectiveness of risk management in schools under jurisdiction of Kalasin Provincial Administration Organization Office consisted of frequent supervision follow-up and evaluation (X₅), organizational culture (X₇), supports from administrators (X₁), and cooperation and unity of the staff (X₄). Prediction ability of these variables was estimated 79.80%. The prediction equations could be shown as follows.

Raw Score Regression Equation
Y^/ = .397 + .247 X₅ + .334 X₇ + .171 X₁ + .150 X₄

        and Standardized Score Regression Equation
        Z^/_Y = .302 Z₅ + .335 Z₇ + .205 Z₁ + .162 Z₄