Sibling models, categorical outcomes, and the intra-class correlation
In sibling models with categorical outcomes the question arises of how best to calculate the intraclass correlation, ICC. We show that, for this purpose, the random effects linear probability model is preferable to a random effects non-linear probability model, such as a logit or probit. This is bec...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Oxford University Press
2021
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