Input feed: Statistical Modeling, Causal Inference, and Social Science
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“Responsibility for Raw Data”: “Failure to retain data for some reasonable length of time following publication would produce notoriety equal to the notoriety attained by publishing inaccurate results. A possibly more effective means of controlling quality of publication would be to institute a system of quality control whereby random samples of raw data from submitted journal articles would be requested by editors and scrutinized for accuracy and the appropriateness of the analysis performed.”
https://statmodeling.stat.columbia.edu/2024/10/09/resp/
Statistical Modeling, Causal Inference, and Social Science 10/09/2024
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Wendy Brown: “Just as nothing is more corrosive to serious intellectual work than being governed by a political programme (whether that of states, corporations, or a revolutionary movement), nothing is more inapt to a political campaign than the unending reflexivity, critique and self-correction required of scholarly inquiry.”
https://statmodeling.stat.columbia.edu/2024/10/01/wb/
Statistical Modeling, Causal Inference, and Social Science 10/01/2024