Correlation-adjusted standard errors and confidence intervals for within-subject designs: A simple multiplicative approach
In within-subject designs, the multiple scores of a given participant are correlated. This correlation implies that the observed variance can be partitioned into between-subject variance and between-measure variance. The basic confidence interval about the mean does not separate these two sources an...
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| Format: | Article |
| Language: | English |
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Université d'Ottawa
2019-12-01
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| Series: | Tutorials in Quantitative Methods for Psychology |
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| Online Access: | https://www.tqmp.org/RegularArticles/vol15-3/p226/p226.pdf |