[Feature Request]: Johnson-Neyman Output for reporting of process models with categorical variables (when probing the interaction) #3348
Description
Description
Improved reporting especially in-line with the SPSS macro
Purpose
No response
Use-case
No response
Is your feature request related to a problem?
No response
Is your feature request related to a JASP module?
Process
Describe the solution you would like
Add this output in a similar way to the SPSS macro
Describe alternatives that you have considered
No response
Additional context
Hayes, A. F., & Montoya, A. K. (2017). A tutorial on testing, visualizing, and probing an interaction involving a multicategorical variable in linear regression analysis. Communication Methods and Measurements, 11(1), 1 - 30.
Johnson, P. O., & Neyman, J. (1936). Test of certain linear hypotheses and the application to some statistical problems. Statistical Research Memoirs, 1, 57–93.
Montoya, A. K. (2016). Extending the Johnson-Neyman Procedure to categorical independent variables: Mathematical derivations and computational tools [Masters Thesis].