Description These data are crime-related and demographic statistics for 47 US states in 1960. The data were collected from the FBI’s Uniform Crime Report and other government agencies to determine…
Read More

You can use Stat/Transfer to copy SAS files (with formats) into SPSS (.sav) files.  It requires a small amount of extra work to do this, as described below. Step 1….
Read More

Number of Dependent Variables Nature of  Independent Variables Nature of Dependent Variable(s) Test(s) How to SAS How to Stata How to SPSS 1  0 IVs (1 population) interval & normal…
Read More

In talking about variables, sometimes you hear variables being described as categorical (or sometimes nominal), or ordinal, or interval.  Below we will define these terms and explain why they are…
Read More

Exact logistic regression is used to model binary outcome variables in which the log odds of the outcome is modeled as a linear combination of the predictor variables. It is…
Read More

  Logistic regression, also called a logit model, is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a linear…
Read More

Negative binomial regression is for modeling count variables, usually for over-dispersed count outcome variables. This page uses the following packages. Make sure that you can load them before trying to…
Read More

Introduction The following page discusses how to use R’s polr function from package MASS to perform an ordinal logistic regression. For a more mathematical treatment of the interpretation of results…
Read More

Poisson regression is used to model count variables. This page uses the following packages. Make sure that you can load them before trying to run the examples on this page….
Read More

Zero-inflated negative binomial regression is for modeling count variables with excessive zeros and it is usually for over-dispersed count outcome variables. Furthermore, theory suggests that the excess zeros are generated…
Read More