Abstract
An instrument for assisting in the selection of mentors for principal interns was developed using six clusters of basic and high-performing principal competencies and five clusters of mentoring traits. The representative sample included 91 principals from Broward County, Florida public schools. A Likert-type scale rated the percentage of time during the principal's career an influential person had spent exhibiting principal competencies and mentoring traits. All squared multiple correlations, predicting mentoring traits from principal competencies, were significant (p < 0.0001), ranging from 0.63 to 0.89. Predictive discriminant analyses yielded models with significant (p < 0.005) cross-validated classification accuracies for mentors (97%), non-mentors (81%), and the sample (84%).
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