Zero inflated Poisson and negative binomial regression using SPSS extension (June 2023)

This video walks you through the basics of running and interpreting a zero-inflated Poisson and zero-inflated negative binomial regression model using an extension for zero-inflated count models.
For a refresher on Poisson and negative binomial regression in SPSS go here: • Poisson and negative b...
If you need to know how to download and install the SPSS extension, go here: • SPSS extension for zer...
You can download a copy of the SPSS data for our example here:
drive.google.c...
Download a copy of the Powerpoint I refer to in the video here:
drive.google.c...
Download copy of the Excel file (for computing exponentiated coefficients) here:
drive.google.c...
Check out other videos and resources at: sites.google.c...

[@GalowGobiye]

My favorite Statistician Dr. @Mike Crowson after my PG Biostatistics Instructor Aboma T. (Assoc. Prof)❤. Thank you for tirelessly demonstrated great videos❤.

[@everardigweh3256]

Hi Dr Mike, is there a way of getting in touch with you?

[@林冠騰-f7g]

Thanks for the video, it's so helpful, and you save my thesis.

[@tegaxel]

Thank you very much Dr. Crowson for your helpful video (I have been looking for valuable guidance like yours for months). If it is possible I would like to ask you just two questions so that I can apply the procedure correctly: 1) if I use only one independent categorical variable (with 3 levels) and one dependent variable, keeping the tick in 'use count predictors for zero model', what is the difference between the output table 'count model coefficients' and 'zero-inflation model coefficients' (i.e., which one should I consider and how should I interpret them)? 2) if my independent categorical variable has 3 levels, does the interpretation of the coefficients in the tables change from what you explained in the video? Thanks for your help and great expertise