Modeling of Clinical Supervision Practices of Elementary School Heads in Region Xi: A Multinomial Logistic Regression Analysis

The purpose of this study was to determine the significant predictors of supervisory styles in the conduct of clinical supervision. Descriptive- correlation design was utilized in the study. A total of 50 elementary schools in Region XI were selected as respondents through purposive sampling technique. The statistical treatments utilized in the study were mean and standard deviation, frequency and percentage, Chi- Square Test for Independence, and Multinomial Logistic Regression. The major findings revealed that there was a significant relationship between teachers’ type, staff development, small group development, direct individual assistance, technology, co- curricular activities, community linkages and supervisory style of elementary school heads. Further, experience, staff development, small group development, and direct individual assistance significantly predicted supervisory style of elementary school heads.