Cover: Helping Districts Hire Better Teachers

Helping Districts Hire Better Teachers

A Case Study Evaluating the Effectiveness of a District's Teacher Hiring Practices

Published Feb 17, 2016

by Mollie Rudnick

Download eBook for Free

FormatFile SizeNotes
PDF file 1.3 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

This dissertation looks at the teacher hiring practices in Huntsville City Schools (HCS), Alabama. The research uses a combination of qualitative and quantitative methods to answer the following questions: 1) What are Huntsville City Schools' (HCSs') current hiring practices?; 2) How well does Huntsville City Schools' existing interview process for rating teacher candidates predict the effectiveness of new hires?; and 3) What are the costs and advantages of alternative instruments as compared to the current process? Both the literature on teacher hiring practices and teacher effectiveness and the findings from the quantitative analyses suggest that there is not one clear measure or tool that predicts later teacher effectiveness. Consequently, I also explore the trade-offs across various hiring measures and teacher characteristics that might inform district decision making about teacher hiring. While this research is specific to HCS, the findings can be broadly applied to other schools and districts with an interest in changing their hiring processes.

Research conducted by

This document was submitted as a dissertation in December 2015 in partial fulfillment of the requirements of the doctoral degree in public policy analysis at the Pardee RAND Graduate School. The faculty committee that supervised and approved the dissertation consisted of Matthew W. Lewis (Chair), Laura S. Hamilton, and Jennifer L. Steele.

This publication is part of the RAND dissertation series. Pardee RAND dissertations are produced by graduate fellows of the Pardee RAND Graduate School, the world's leading producer of Ph.D.'s in policy analysis. The dissertations are supervised, reviewed, and approved by a Pardee RAND faculty committee overseeing each dissertation.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.