A Value-Added Modeling Approach for Examining the Relationship Between Reform Teaching and Mathematics Achievement
Published May 20, 2005
Published May 20, 2005
Recent large-scale efforts to improve mathematics education have focused on changing teachers’ instructional practices to place less emphasis on the acquisition of discrete skills and factual knowledge, and greater weight on conceptual understanding, inquiry, and application and communication of mathematical or scientific ideas. Research has shown that this approach, commonly referred to as reform-oriented instruction, can have positive but small effects on student achievement. The weak relationships between reform pedagogy and achievement may be partially attributable to several factors, including inadequate measurement of reform instruction, a brief timeframe in which reform teaching is examined, and the use of achievement measures (such as multiple-choice tests) that may not be well-aligned with reform practices or curricula. This study addresses those limitations by using innovative vignette-based methods for measuring instructional practices, exploring relationships longitudinally over a three-year period, and including open-ended measures. Analyses suggested that some aspects of reform teaching show positive relationships with mathematics achievement, but the effects are quite small, may take several years before the relationships are manifested, and may be evident only on certain test formats or grade levels. The results help inform the debate regarding the relative importance of teachers as a source of variability in student achievement, and provide direction for future research.
This material is based on work supported by the National Science Foundation conducted conducted within RAND Education.
This publication is part of the RAND working paper series. RAND working papers are intended to share researchers' latest findings and to solicit informal peer review. They have been approved for circulation by RAND but may not have been formally edited or peer reviewed.
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 www.rand.org/pubs/permissions.
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.