Wednesday, December 19, 2012
Tweet[IWS] CRS: VALUE-ADDED MODELING FOR TEACHER EFFECTIVENESS [11 December 2012]
IWS Documented News Service
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Institute for Workplace Studies----------------- Professor Samuel B. Bacharach
School of Industrial & Labor Relations-------- Director, Institute for Workplace Studies
Cornell University
16 East 34th Street, 4th floor---------------------- Stuart Basefsky
New York, NY 10016 -------------------------------Director, IWS News Bureau
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Congressional Research Service (CRS)
Value-Added Modeling for Teacher Effectiveness
Erin D. Lomax, Specialist in Education Policy
Jeffrey J. Kuenzi, Specialist in Education Policy
December 11, 2012
http://www.fas.org/sgp/crs/misc/R41051.pdf
[full-text, 20 pages]
Summary
Two of the major goals of the Elementary and Secondary Education Act (ESEA), as amended by
the No Child Left Behind Act of 2001 (P.L. 107-110; NCLB), are to improve the quality of K-12
teaching and raise the academic achievement of students who fail to meet grade-level proficiency
standards. In setting these goals, Congress recognized that reaching the second goal depends
greatly on meeting the first; that is, quality teaching is critical to student success. Thus, NCLB
established new standards for teacher qualifications and required that all courses in “core
academic subjects” be taught by a highly qualified teacher by the end of the 2005-2006 school
year.
During implementation, the NCLB highly qualified teacher requirement came to be seen as
setting minimum qualifications for entry into the profession and was criticized by some for
establishing standards so low that nearly every teacher met the requirement. Meanwhile, policy
makers have grown increasingly interested in the output of teachers’ work; that is, their
performance in the classroom and the effectiveness of their instruction. Attempts to improve
teacher performance led to federal and state efforts to incentivize improved performance through
alternative compensation systems. For example, through P.L. 109-149, Congress authorized the
Federal Teacher Incentive Fund (TIF) program, which provides grants to support teacher
performance pay efforts. In addition, there are various programs at all levels (national, state, and
local) aimed at reforming teacher compensation systems. The most recent congressional action in
this area came with the passage of the American Recovery and Reinvestment Act of 2009
(ARRA, P.L. 111-5) and, in particular, enactment of the Race to the Top (RTTT) program.
In November 2009, the U.S. Department of Education released a final rule of priorities,
requirements, definitions, and selection criteria for the RTTT. The final rule established a
definition of an effective teacher as one “whose students achieve acceptable rates (e.g., at least
one grade level in an academic year) of student growth (as defined in this notice).” That is, to be
considered effective, teachers must raise their students’ learning to a level at or above what is
expected within a typical school year. States, LEAs, and schools must include additional
measures to evaluate teachers; however, these evaluations must be based, “in significant part, [on]
student growth.”
This report addresses issues associated with the evaluation of teacher effectiveness based on
student growth in achievement. It focuses specifically on a method of evaluation referred to as
value-added modeling (VAM). Although there are other methods for assessing teacher
effectiveness, in the last decade, VAM has garnered increasing attention in education research and
policy due to its promise as a more objective method of evaluation. The first section of this report
describes what constitutes a VAM approach and how it estimates the so-called “teacher effect.”
The second section identifies the components necessary to conduct VAM in education settings.
Third, the report discusses current applications of VAM at the state and school district levels and
what the research on these applications says about this method of evaluation. The fourth section
of the report explains some of the implications these applications have for large-scale
implementation of VAM. Finally, the report describes some of the federal policy options that
might arise as Congress considers legislative action around these or related issues.
Contents
Introduction ...................................................................................................................................... 1
What is Value-Added Modeling? ..................................................................................................... 3
The “Teacher Effect” ................................................................................................................. 3
Components of Conducting a Value-Added Model ................................................................... 5
Database Requirements ....................................................................................................... 5
Estimating Teacher Effects .................................................................................................. 6
Practical Applications and Research Results of Value-Added Modeling ................................ 11
VAM in the Field ............................................................................................................... 11
Research Findings ............................................................................................................. 13
Implications of Large-Scale Implementation .......................................................................... 14
Data Requirements ............................................................................................................ 14
Capacity ............................................................................................................................. 15
Transparency ..................................................................................................................... 15
Federal Policy Options ............................................................................................................ 16
Contacts
Author Contact Information........................................................................................................... 17
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