Prediction of Job Satisfactoriness and Job Satisfaction of Secondary School Teachers

Abstract

A five-variable regression equation was developed to predict the job satisfactoriness of 146 secondary teachers as perceived by their principals; the model was then cross-validated on a calibration sample of 146 teachers. The screening sample gave a multiple R of .476, which held on cross-validation to .38. Best predictor was job satisfaction, followed by certification status, time of decision to teach, marital status, and GPA. A similar procedure attempted to build a model to predict job satisfaction but was not successful with these six variables.