All for one or some for all? Evaluating informative hypotheses using multiple N = 1 studies
Analyses are mostly executed at the population level, whereas in many applications the interest is on the individual level instead of the population level. In this paper, multiple N = 1 experiments are considered, where participants perform multiple trials with a dichotomous outcome in various condi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer New York LLC
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |