| Autor: |
E, Bagiella, R P, Sloan, D F, Heitjan |
| Rok vydání: |
2000 |
| Předmět: |
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| Zdroj: |
Psychophysiology. 37(1) |
| ISSN: |
0048-5772 |
| Popis: |
The current methodological policy in Psychophysiology stipulates that repeated-measures designs be analyzed using either multivariate analysis of variance (ANOVA) or repeated-measures ANOVA with the Greenhouse-Geisser or Huynh-Feldt correction. Both techniques lead to appropriate type I error probabilities under general assumptions about the variance-covariance matrix of the data. This report introduces mixed-effects models as an alternative procedure for the analysis of repeated-measures data in Psychophysiology. Mixed-effects models have many advantages over the traditional methods: They handle missing data more effectively and are more efficient, parsimonious, and flexible. We described mixed-effects modeling and illustrated its applicability with a simple example. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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