Defensible inferences from a nested sequence of logistic regressions: a guide for the perplexed
Abstract Employing nested sequences of models is a common practice when exploring the extent to which one set of variables mediates the impact of another set. Such an analysis in the context of logistic regression models confronts two challenges: (i) direct comparisons of coefficients across models...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-07-01
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| Series: | Large-scale Assessments in Education |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40536-021-00111-7 |