U Knief, W Forstmeier - Behavior Research Methods, 2021 - europepmc.org
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a …
U Knief, W Forstmeier - Behavior Research Methods, 2021 - epub.ub.uni-muenchen.de
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a …
U Knief, W Forstmeier - Behavior Research Methods, 2021 - pure.mpg.de
Violating the normality assumption may be the lesser of two evils :: MPG.PuRe Deutsch Hilfe Datenschutzhinweis Impressum Volltexte einbeziehen DetailsucheBrowse START …
U Knief, W Forstmeier - bioRxiv, 2018 - biorxiv.org
When data are not normally distributed (eg skewed, zero-inflated, binomial, or count data) researchers are often uncertain whether it may be legitimate to use tests that assume …
U Knief, W Forstmeier - Behavior Research Methods, 2021 - search.ebscohost.com
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a …
U Knief, W Forstmeier - Behavior Research Methods, 2021 - psycnet.apa.org
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a …
U Knief, W Forstmeier - Behavior research methods, 2021 - pubmed.ncbi.nlm.nih.gov
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a …
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a …
U Knief, W Forstmeier - Behavior Research Methods, 2021 - ncbi.nlm.nih.gov
When data are not normally distributed, researchers are often uncertain whether it is legitimate to use tests that assume Gaussian errors, or whether one has to either model a …