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Pam Grossman

Bio: Pam Grossman is an academic researcher from Stanford University. The author has contributed to research in topics: Teacher education & Teaching method. The author has an hindex of 49, co-authored 101 publications receiving 16379 citations. Previous affiliations of Pam Grossman include University of Washington & University of Pennsylvania.


Papers
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01 Jan 2008
TL;DR: In this article, the authors used the covariance structure of student test scores across grades in New York City from 1999 to 2007 to estimate the overall extent of test measurement error and how measurement error varies across students.
Abstract: Value-added models in education research allow researchers to explore how a wide variety of policies and measured school inputs affect the academic performance of students. Researchers typically quantify the impacts of such interventions in terms of effect sizes, i.e., the estimated effect of a one standard deviation change in the variable divided by the standard deviation of test scores in the relevant population of students. Effect size estimates based on administrative databases typically are quite small. Research has shown that high quality teachers have large effects on student learning but that measures of teacher qualifications seem to matter little, leading some observers to conclude that, even though effectively choosing teachers can make an important difference in student outcomes, attempting to differentiate teacher candidates based on pre-employment credentials is of little value. This illustrates how the perception that many educational interventions have small effect sizes, as traditionally measured, are having important consequences for policy. In this paper we focus on two issues pertaining to how effect sizes are measured. First, we argue that model coefficients should be compared to the standard deviation of gain scores, not the standard deviation of scores, in calculating most effect sizes. The second issue concerns the need to account for test measurement error. The standard deviation of observed scores in the denominator of the effect-size measure reflects such measurement error as well as the dispersion in the true academic achievement of students, thus overstating variability in achievement. It is the size of an estimated effect relative to the dispersion in the true achievement or the gain in true achievement that is of interest. Adjusting effect-size estimates to account for these considerations is straightforward if one knows the extent of test measurement error. Technical reports provided by test vendors typically only provide information regarding the measurement error associated with the test instrument. However, there are a number of other factors, including variation in scores associated with students having particularly good or bad days, which can result in test scores not accurately reflecting true academic achievement. Using the covariance structure of student test scores across grades in New York City from 1999 to 2007, we estimate the overall extent of test measurement error and how measurement error varies across students. Our estimation strategy follows from two key assumptions: (1) there is no persistence (correlation) in each student’s test measurement error across grades; (2) there is at least some persistence in learning across grades with the degree of persistence constant across grades. Employing the covariance structure of test scores for NYC students and alternative models characterizing the growth in academic achievement, we find estimates of the overall extent of test measurement error to be quite robust. Returning to the analysis of effect sizes, our effect-size estimates based on the dispersion in gain scores net of test measurement error are four times larger than effect sizes typically measured. To illustrate the importance of this difference, we consider results from a recent paper analyzing how various attributes of teachers affect the test-score gains of their students (Boyd et al., in press). Many of the estimated effects appear small when compared to the standard deviation of student achievement – that is effect sizes of less than 0.05. However, when measurement error is taken into account, the associated effect sizes often are about 0.16. Furthermore, when teacher attributes are considered jointly, based on the teacher attribute combinations commonly observed, the overall effect of teacher attributes is roughly half a standard deviation of universe score gains – even larger when teaching experience is also allowed to vary. The bottom line is that there are important differences in teacher effectiveness that are systematically related to observed teacher attributes. Such effects are important from a policy perspective, and should be taken into account in the formulation and implementation of personnel policies.

40 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used data from New York City to assess the relative effectiveness and retention of career-switchers and found that these teachers are no more effective than other new teachers, and appear to be less effective at raising math scores of elementary and middle school students.

36 citations

Journal ArticleDOI
TL;DR: This article presented responses from four College of Education deans to a series of questions posed by the Penn State University Journal of Teacher Education (JTE) editorial team, including a discussion of the role of diversity in education.
Abstract: This article presents responses from four College of Education deans to a series of questions posed by the Penn State University Journal of Teacher Education (JTE) editorial team.

34 citations


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Book
01 Jan 2012
Abstract: Experience and Educationis the best concise statement on education ever published by John Dewey, the man acknowledged to be the pre-eminent educational theorist of the twentieth century. Written more than two decades after Democracy and Education(Dewey's most comprehensive statement of his position in educational philosophy), this book demonstrates how Dewey reformulated his ideas as a result of his intervening experience with the progressive schools and in the light of the criticisms his theories had received. Analysing both "traditional" and "progressive" education, Dr. Dewey here insists that neither the old nor the new education is adequate and that each is miseducative because neither of them applies the principles of a carefully developed philosophy of experience. Many pages of this volume illustrate Dr. Dewey's ideas for a philosophy of experience and its relation to education. He particularly urges that all teachers and educators looking for a new movement in education should think in terms of the deeped and larger issues of education rather than in terms of some divisive "ism" about education, even such an "ism" as "progressivism." His philosophy, here expressed in its most essential, most readable form, predicates an American educational system that respects all sources of experience, on that offers a true learning situation that is both historical and social, both orderly and dynamic.

10,294 citations

01 Jan 1982
Abstract: Introduction 1. Woman's Place in Man's Life Cycle 2. Images of Relationship 3. Concepts of Self and Morality 4. Crisis and Transition 5. Women's Rights and Women's Judgment 6. Visions of Maturity References Index of Study Participants General Index

7,539 citations

Journal Article
TL;DR: One of the books that can be recommended for new readers is experience and education as mentioned in this paper, which is not kind of difficult book to read and can be read and understand by the new readers.
Abstract: Preparing the books to read every day is enjoyable for many people. However, there are still many people who also don't like reading. This is a problem. But, when you can support others to start reading, it will be better. One of the books that can be recommended for new readers is experience and education. This book is not kind of difficult book to read. It can be read and understand by the new readers.

5,478 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed a practice-based theory of content knowledge for teaching built on Shulman's (1986) notion of pedagogical content knowledge and applied it to the problem of teaching.
Abstract: This article reports the authors' efforts to develop a practice-based theory of content knowledge for teaching built on Shulman's (1986) notion of pedagogical content knowledge. As the concept of p...

4,477 citations