Abstract
Monte Carlo methods were used to investigate the adequacy of 2 approaches to data analysis in a repeated measures design in which the number of repeated levels was large and the sample size was relatively small. The techniques examined were G. E. Box's (1954) ε-adjustment and H. Huynh and L. S. Feldt's (1976) ε-adjustment. Results show that approximate univariate approaches to repeated measures can successfully be used even when the number of Ss is smaller than the number of levels of the repeated factor. (22 ref) (PsycINFO Database Record (c) 2006 APA, all rights reserved).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 778-785 |
| Number of pages | 8 |
| Journal | Psychological Bulletin |
| Volume | 92 |
| Issue number | 3 |
| DOIs | |
| State | Published - Nov 1982 |
| Externally published | Yes |
Keywords
- Monte Carlo method, evaluation of data analysis of repeated measures design with many repeated levels & small sample