Section author: Jonas Rafi

Logistic Regression

How to perform a logistic regression in jamovi:
  1. You need one categorical nominal ordinal dependent variable (nominal or ordinal), and at least one continuous explanatory variable.
    A correct setup should look similar to this:

    data_format_regression_logistic


  2. Logistic regression can be found by selecting Analyses → Regression. If the outcome variable is nominal (as in the above image), select 2 Outcomes if it has 2 steps / different values, or N outcomes if it has more than 2 steps. If the outcome variable is ordinal (e.g. low, medium, high), select Ordinal Outcomes.

    select_regression_logistic


  3. Drag and drop your dependent variable to Dependent Variable and your predictor to Covariates.

    add_var_regression_logistic


  4. The result is shown in the right panel:

    output_regression_logistic


  5. A little more comprehensive introduction into this statistical method is provided by this two videos, explaining logistic regression with two levels (to predict eg gender or clinical vs. control group ) and with more than two levels (to predict, e.g., food preferences: fast food, healthy food, high protein food, vegan food, etc.).