How to run Negative Binomial Regression in SPSS | Handle overdispersed count data

Analyzing count data in SPSS but your variance is greater than the mean? Then Negative Binomial Regression is the right model for you! In this video, I walk you through how to run Negative Binomial Regression in SPSS, including how to check for overdispersion, run the model, interpret key outputs, and report your results accurately in research. Whether you’re working with health data, social science research, or any dataset involving event counts (e.g. number of hospital visits, incidents, accidents), this tutorial will help you choose and apply the right regression model when Poisson regression is not suitable. 📌 What you'll learn: When to use Negative Binomial Regression How to test the assumptions (overdispersion check) Step-by-step model fitting in SPSS Output interpretation How to report the findings in your thesis or paper Download data 👉 https://drive.google.com/file/d/1dwDh... Poisson Regression in SPSS 👉    • How to run Poisson Regression in SPSS | As...   offset variables in Poisson and Negative Binomial Regression 👉    • How to use offset variables in Poisson and...   #negativebinomialregression #negativebinomialregressioninSPSS #countdataregression #overdispersionincountdata #spssregressiontutorial #spssnegativebinomial #regressionforoverdisperseddata #howtorunnegativebinomialregressioninspss #countdatamodelingspss #spssdataanalysis #statisticalmodelinginspss #analyzingcountdata