| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7527919 | SSM - Population Health | 2018 | 5 Pages |
Abstract
Multilevel regression analysis is an appropriate methodology for investigating both GCEs and SCEs. However, frequently researchers only report SCEs and disregard the study of the GCE, unaware that small GCEs lead to more precise estimates of SCEs so, paradoxically, the less relevant the context is, the easier it is to detect (and publish) small but “statistically significant” SCEs. We describe this paradoxical situation and encourage researchers performing multilevel regression analysis to consider simultaneously both the GCE and SCEs when interpreting contextual influences on individual health.
Related Topics
Social Sciences and Humanities
Social Sciences
Health
Authors
Juan Merlo, Philippe Wagner, Peter C. Austin, SV Subramanian, George Leckie,