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Linear Discriminant Analysis
Linear Discriminant Analysis is a statistical test used to predict a single categorical variable using one or more other continuous variables.
Mixed Effects Logistic Regression
Mixed effects logistic regression is a statistical method used to predict a binary variable with one or more other variables with repeated measures.
Mixed Effects Model
A mixed effects model is used for determining the effects of one or more independent variables on a dependent variable when there are repeated measures from the same unit of observation.
Multinomial Logistic Regression
Multinomial Logistic Regression is a statistical test used to predict a single categorical variable using one or more other variables.
Multiple Linear Regression
Multiple Linear Regression is a method used for predicting one continuous variable using one or more other variable or for understanding the numerical relationship between then.
Multiple Logistic Regression
Multiple Logistic Regression is a statistical test used to predict a single binary variable using one or more other variables.
Multivariate Multiple Linear Regression
Multivariate multiple linear regression is a statistical method used to predict one or more dependent variables using one or more independent variables.
Ordinal Logistic Regression
The StatsTest Flow: Prediction >> Ordered Categorical Dependent Variable Not sure this is the right statistical method? Use the Choose Your StatsTest workflow to select the righ...
Simple Linear Regression
Simple Linear Regression is a method used for predicting one continuous variable using one other variable or for understanding the numerical relationship between then.
Simple Logistic Regression
Simple Logistic Regression is a statistical method used to predict a single binary variable using one other continuous variable.
Cramer's V
Cramer's V can be used to understand the strength of the relationship between two categorical variables with two or more unique values per variable.
Kendall's Tau
Kendall's Tau measures the relationship between two variables when one or more of the variables is ordinal, non-linear, skewed, or has outliers.