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I constructed a simulation study to evaluate the statistical performance of two equivalence-based tests and compared it to the common, but inappropriate, method of concluding no effect by failing to reject the null hypothesis of the traditional test. I further propose two R functions to supply researchers with open-access and easy-to-use tools …
Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) using semopy, with a Wald z-test to examine differences in the magnitude of effects among latent variables on Mathematics academic achievement, conducted in Python.
PsychoMatic is an R package for automated psychometric analysis. It streamlines descriptives, EFA, CFA, reliability, measurement invariance, and alignment, with flexible settings and bilingual reporting in English or Spanish.