A primer on distributional assumptions and model linearity in repeated measures data analysis
Repeated measures data are widely used in social and behavioral sciences, e.g., to investigate the trajectory of an underlying phenomenon over time. A variety of different mixed-effects models, a type of statistical modeling approach for repeated measures data, have been proposed and they differ mai...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Université d'Ottawa
2018-10-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
| Subjects: | |
| Online Access: | https://www.tqmp.org/RegularArticles/vol14-3/p199/p199.pdf |