Development and Field Test of an Employment Selection Instrument for Teachers in Urban School Districts

Abstract

Employment interviews are widely used in the selection of quality teachers, and indeed research confirms administrators’ belief in the validity of the procedure. However, many key recommendations for improving the general reliability of interviews including selecting questions that are job-related and research grounded, including well designed scoring rubrics, and incorporating adaptive variable-length interview designs are generally not well implemented in currently available instruments. Furthermore, emerging research suggests the need for specially tailored interviews that assess attitudes and pre-dispositions deemed essential to teachers’ effectiveness in certain high attrition environments like urban schools. This study describes the development and initial field-test results of a computer based, adaptive interview with an additional domain included for teachers in urban areas. The instrument is based on careful analysis of the suggestions from the extant literature base about effective employment interview techniques, effective general teaching practices, and sound teaching strategies in urban schools. By comparing the interview scores of 30 teachers with varying effectiveness ratings provided by administrators in one urban district, significant correlations were found. Regression analysis indicated a significant amount of variance in teachers’ effectiveness ratings could be predicted from their scores on the interview instrument.