What type of analysis is appropriate for a categorical dependent and categorical independent variable?

What type of analysis is appropriate for a categorical dependent and categorical independent variable?

A one-way analysis of variance (ANOVA) is used when you have a categorical independent variable (with two or more categories) and a normally distributed interval dependent variable and you wish to test for differences in the means of the dependent variable broken down by the levels of the independent variable.

Is categorical data nonparametric?

As a general rule of thumb, when the dependent variable’s level of measurement is nominal (categorical) or ordinal, then a non-parametric test should be selected. When the dependent variable is measured on a continuous scale, then a parametric test should typically be selected.

Which of the following nonparametric tests can be used to compare two independent variables?

Mann Whitney U test
When comparing two independent samples when the outcome is not normally distributed and the samples are small, a nonparametric test is appropriate. A popular nonparametric test to compare outcomes between two independent groups is the Mann Whitney U test.

Which is an example of a dependent variable?

DEPENDENT VARIABLE: The variable of interest which could be influenced by independent variables. PARAMETRIC TESTS: there are various assumptions for parametric tests including the assumption that continuous dependent variables are normally distributed.

How to select between parametric and non-parametric analyses?

Selecting Between Parametric and Non-Parametric Analyses. A Pearson correlation is used when assessing the relationship between two continuous variables. The non-parametric equivalent to the Pearson correlation is the Spearman correlation ( ρ ), and is appropriate when at least one of the variables is measured on an ordinal scale.

Which is the best test for independent variable?

independent variable is the group the subject is in which is categorical. If the data is normally distributed, use the independent t-test, if not use the Mann-Whitney test.

How many independent variables does a factorial ANOVA have?

A factorial ANOVA has two or more categorical independent variables (either with or without the interactions) and a single normally distributed interval dependent variable.