Sas Programs and Data Sets
Year: 2025
Type: article
Abstract: This paper used simulated data to demonstrate that statistical significance is a viable tool for reducing the number of false effect sizes (Pearson's bivariate correlation coefficients) that would otherwise be considered substantively significant when working with small sample sizes.
Source: Figshare
Author: Komaroff, Eugene
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6921045314
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