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Edward H. Haertel

Researcher at Stanford University

Publications -  86
Citations -  4282

Edward H. Haertel is an academic researcher from Stanford University. The author has contributed to research in topics: Educational assessment & Test (assessment). The author has an hindex of 31, co-authored 86 publications receiving 4104 citations. Previous affiliations of Edward H. Haertel include University of Chicago.

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Problems with the Use of Student Test Scores to Evaluate Teachers. EPI Briefing Paper #278.

Abstract: Authors, each of whom is responsible for this brief as a whole, are listed alphabetically. correspondence may be addressed to Educ_Prog@epi.org. Executive summary Every classroom should have a well-educated, professional teacher, and school systems should recruit, prepare, and retain teachers who are qualified to do the job. Yet in practice, American public schools generally do a poor job of systematically developing and evaluating teachers. Many policy makers have recently come to believe that this failure can be remedied by calculating the improvement in students' scores on standardized tests in mathematics and reading, and then relying heavily on these calculations to evaluate, reward, and remove the teachers of these tested students. While there are good reasons for concern about the current system of teacher evaluation, there are also good reasons to be concerned about claims that measuring teachers' effectiveness largely by student test scores will lead to improved student achievement. If new laws or policies specifically require that teachers be fired if their students' test scores do not rise by a certain amount, then more teachers might well be terminated than is now the case. But there is not strong evidence to indicate either that the departing teachers would actually be the weakest teachers, or that the departing teachers would be replaced by more effective ones. There is also little or no evidence for the claim that teachers will be more motivated to improve student learning if teachers are evaluated or monetarily rewarded for student test score gains. A review of the technical evidence leads us to conclude that, although standardized test scores of students are one piece of information for school leaders to use to make judgments about teacher effectiveness, such scores should be only a part of an overall comprehensive evaluation. Some states are now considering plans that would give as much as 50% of the weight in teacher evaluation and compensation decisions to scores on existing tests of basic skills in math and reading. Based on the evidence, we consider this unwise. Any sound evaluation will necessarily involve a balancing of many factors that provide a more accurate view of what teachers in fact do in the classroom and how that contributes to student learning. Evidence about the use of test scores to evaluate teachers Recent statistical advances have made it possible to look at student achievement gains after adjusting for some student and school characteristics. These approaches …
Journal ArticleDOI

Using restricted latent class models to map the skill structure of achievement items

TL;DR: In this article, a new method for using certain restricted latent class models, referred to as binary skills models, to determine the skills required by a set of test items is presented.

Evaluating Teacher Evaluation

TL;DR: In this paper, the authors identify better approaches for evaluating teachers and propose a method to evaluate teachers based on the evaluation of the teacher's performance in a test set, rather than the evaluation itself.
Journal ArticleDOI

Evaluating teacher evaluation

TL;DR: Popular modes of evaluating teachers are fraught with inaccuracies and inconsistencies, but the field has identified better approaches as discussed by the authors, and they have identified better ways to evaluate teachers than traditional evaluation methods.
Book ChapterDOI

4 Reliability Coefficients and Generalizability Theory

TL;DR: This chapter discusses reliability coefficients as developed in the framework of the classical test theory (CTT) and describes the way the conception and estimation of reliability has been broadened in generalizability theory (G).