Should Language Researchers Test for Normality? An Investigation Using Monte Carlo Simulation
Year: 2026
Type: preprint
Abstract: This project highlights the problems associated with normality testing in the language sciences. Using two Monte Carlo simulations, these analyses show how normality testing can mislead researchers about the nature of their data and models.
Source: OSF Preprints (OSF Preprints)
Author: Shawn Hemelstrand
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7222911377