This workshop will focus on the basic analyses, procedures, and best practices that any researcher should consider when faced with a new dataset.
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Ordinal logistic regression is an extension of binary logistic regression. This statistical method can be implemented when modeling a dependent variable that is an ordinal (categorical) variable. This workshop will discuss the assumptions behind the ordinal logistic model, the interpretation of the coefficients from the model, post hoc tests.
This workshop will teach participants how to make sense of their output from linear statistical models, with an emphasis on the meaning of the model parameters. The workshop is intended for participants who have at least one semester of statistics and some previous experience with linear regression or ANOVA. This is a review and is […]