Introduction
In this video, you'll learn the basics of choice data analysis in GAUSS. Our video demonstration shows just how quick and easy it is to get started with everything from data loading to discrete data modeling.
Summary and Timeline
You'll see firsthand how to:
- Load and verify survey data.
- Compute descriptive statistics.
- Merge data from different sources.
- Create basic scatter and frequency plots.
- Fit a basic probit model.
Timeline
0:52 Load and verify CSV survey data.
2:53 Change the base case of a categorical variable.
5:24 Merge dataframes.
06:40 Descriptive statistics.
09:25 XY and frequency plots.
11:11 Create an indicator variable from a categorical choice variable.
12:25 Create a categorical variable and set the labels for the levels.
14:47 Estimate a probit model.
Additional Resources
- How to Load Excel Data Into GAUSS
- Easy Management of Categorical Variables
- Getting Started with Survey Data in GAUSS
- What is a GAUSS Dataframe and Why Should You Care?
- Managing String Data with GAUSS Dataframes
- The GAUSS Data Management Guide
- Anchoring Vignettes and the Compound Hierarchical Ordered Probit (CHOPIT) Model