Study design
Compare groups analysis study requirements and dataset layout.
Requirements
- A quantitative response variable.
- A categorical factor variable with 2 or more levels.
Dataset layout
Use a column for the response variable (Height) and a column for the factor variable (Sex); each row has the values of the variables for a case (Subject).
| Subject (optional) | Sex | Height |
|---|---|---|
| 1 | Male | 175 |
| 2 | Male | 180 |
| 3 | Male | 160 |
| 4 | Male | 190 |
| 5 | Male | 180 |
| 6 | Female | 150 |
| 7 | Female | 140 |
| 8 | Female | 160 |
| 9 | Female | 165 |
| 10 | Female | 180 |
| … | … | … |
Note: Do not split groups into separate columns. For example, you should not record the heights of males in one column and heights of females in another.
Available in Analyse-it Editions
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
Standard edition
Method Validation edition
Quality Control & Improvement edition
Ultimate edition
