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William A. Firestone

Researcher at Rutgers University

Publications -  113
Citations -  7816

William A. Firestone is an academic researcher from Rutgers University. The author has contributed to research in topics: Professional development & Educational research. The author has an hindex of 37, co-authored 112 publications receiving 7492 citations.

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Alternative Arguments for Generalizing From Data as Applied to Qualitative Research

TL;DR: This article examined three broad arguments for generalizing from data: sample-to-population extrapolation, analytic generalization, and case-to case transfer, and concluded that analytic generalisation can be very helpful for qualitative researchers but that sample to population extrapolation is not likely to be.
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Multisite Qualitative Policy Research: Optimizing Description and Generalizability

TL;DR: For instance, this paper examined the utility of multisite qualitative policy research in the context of public self-criticism with an eye to improving their methods, and pointed out the benefits of cross-site comparison without sacrificing within-site understanding.
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Meaning in Method: The Rhetoric of Quantitative and Qualitative Research

TL;DR: The authors argued that part of the connection between quantitative and qualitative methods is rhetorical and argued that the results of the two methodologies can be complementary, while rhetorically different, while they are complementary.
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Teacher Commitment, Working Conditions, and Differential Incentive Policies

TL;DR: The authors developed a framework for assessing how differential incentive policies affect teacher commitment, identifying seven key workplace conditions that contribute to teacher commitment: job design characteristics, feedback, autonomy, participation, collaboration, learning opportunities, and resources.
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Performance-Based Assessment and Instructional Change: The Effects of Testing in Maine and Maryland.

TL;DR: The authors examined how performance-based assessment changed mathematics teaching under conditions of moderate and low stakes, and found that the effects of state testing on teaching may be overrated by both advocates and opponents of such policies.