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Journal ArticleDOI

Rejection, rebuttal, revision: Some flexible features of peer review

Donald B. Rubin
- 01 Jun 1982 - 
- Vol. 5, Iss: 2, pp 236-237
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This article is published in Behavioral and Brain Sciences.The article was published on 1982-06-01. It has received 39 citations till now. The article focuses on the topics: Rebuttal.

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Citations
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The reliability of peer review for manuscript and grant submissions: A cross-disciplinary investigation

TL;DR: The reliability of peer review of scientific documents and the evaluative criteria scientists use to judge the work of their peers are critically reexamined with special attention to the consistently low levels of reliability that have been reported.

Advocacy and Objectivity in Science

TL;DR: In this article, the authors examined three strategies for scientific research in management: advocacy, induction, and multiple hypotheses, and found that advocacy of a single dominant hypothesis is efficient but biased, while induction is not biased, but it is inefficient.

Solutions for Missing Data in Structural Equation Modeling

TL;DR: A review of several methods currently used, a description of strengths and weaknesses of each method, and a proposal for future research for dealing with missing data.
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Does the Need for Agreement Among Reviewers Inhibit the Publication of Controversial Findings

TL;DR: Cicchetti as discussed by the authors reported that agreement among reviewers is not high and this conclusion was empirically supported by Fiske and Fogg (1990), who reported that two independent reviews of the same papers typically had no critical point in common.
References
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Book

Statistical Principles in Experimental Design

TL;DR: In this article, the authors introduce the principles of estimation and inference: means and variance, means and variations, and means and variance of estimators and inferors, and the analysis of factorial experiments having repeated measures on the same element.
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Statistical Principles in Experimental Design

TL;DR: This chapter discusses design and analysis of single-Factor Experiments: Completely Randomized Design and Factorial Experiments in which Some of the Interactions are Confounded.
Journal ArticleDOI

Convergent and discriminant validation by the multitrait-multimethod matrix.

TL;DR: This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components.