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We recommend mixed effects model analysis instead.
A second-order conditionally linear mixed effects model with observed and latent variables and covariates.
Then, we added the individual regression coefficients for response times as fixed factor into the previously run mixed effects model on accuracy and the individual regression coefficients for accuracy as fixed factor into the mixed effects model on response times.
Effects were tested using a generalized linear mixed effects model with a Poisson error distribution (log link).
The IDS-SR30, QIDS-SR16, and PGI-I mixed effects model analyses revealed similar statistically significant results.
linear mixed effects model.
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Lines show fit of linear-mixed effects model.
Table 5 Table of covariates, results summary of the linear mixed-effects model Fixed effects Coeff.
Data were analyzed using a mixed-effects model.
Inset shows linear mixed-effects model fitted to the final flights of each generation for all three treatment groups.
Based on the observed highly linear patterns of the log2-transformed PSA, a linear mixed-effects model was built.
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