Factorial Designs - Fixed and Mixed Models
Tips and Tricks on EMS
You need to add terms to the EMS under these circumstances:
- If something is randomly assigned.
- If something is nested.
- If something crosses it.
Example 1. A two-factor, fixed-effects design
- Subjects are randomly assigned to method and
- Subjects are nested in gender.
- Error term is s:MG (includes both fixed factors M and G)
- Add s:MG to both main effects and to the 2-way interaction: M, G, and
MxG
- Graphically depict the design: see below.
| |
Male |
Female |
| Experimental |
8 |
10 |
| Control |
11 |
9 |
Example 2: A three-factor, fixed-effects design
- Subjects are randomly assigned to method (M) and
- Subjects are nested in gender (G) and
- Subjects are also nested in school (E)
- Error term is s:MGE (includes all 3 fixed factors)
- Add s:MGE to all three main (fixed) effects, all three 2-way
interactions, and the 3-way interaction.
- Graphically depict the design: Same as Example 3 below, but the EMSs
are different.
Example 3: A three-factor, mixed-effects design
| School |
Method |
Gender |
| Centennial |
Experimental |
Male |
| Centennial |
Experimental |
Female |
| Centennial |
Control |
Male |
| Centennial |
Control |
Female |
| Nederland |
Experimental |
Male |
| Nederland |
Experimental |
Female |
| Nederland |
Control |
Male |
| Nederland |
Control |
Female |
Back to Statistics course
Lorraine Sherry
http://www.cudenver.edu/~lsherry/factorialdesigns.html
Updated March 22, 1997