A collapsed coding technique for analyzing longitudinal data
Consider a model with "n" fixed blocks (blocks may be a convenience sample), "r + 1" fixed treatments (within blocks) and no block by treatment interactions. When "n" is large enough, and data are missing at random, an ordinary least squares (OLS) solution is infeasible...
| Main Author: | |
|---|---|
| Language: | ENG |
| Published: |
ScholarWorks@UMass Amherst
1994
|
| Subjects: | |
| Online Access: | https://scholarworks.umass.edu/dissertations/AAI9510468 |