Full Text Journal Articles by
Author Clare R. Evans

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Cross-classified multilevel models (CCMM) in health research: A systematic review of published empirical studies and recommendations for best practices.

Kathryn M Barker, Erin C Dunn, Tracy K Richmond, Sarah Ahmed, Matthew Hawrilenko, Clare R Evans,

Recognizing that health outcomes are influenced by and occur within multiple social and physical contexts, researchers have used multilevel modeling techniques for decades to analyze hierarchical or nested data. Cross-Classified Multilevel Models (CCMM) are a statistical technique proposed in the 1990s that extend standard multilevel modeling and enable the simultaneous ... Read more >>

SSM Popul Health (SSM - population health)
[2020, 12:100661]

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Does an uneven sample size distribution across settings matter in cross-classified multilevel modeling? Results of a simulation study.

Carly E Milliren, Clare R Evans, Tracy K Richmond, Erin C Dunn,

BACKGROUND:Recent advances in multilevel modeling allow for modeling non-hierarchical levels (e.g., youth in non-nested schools and neighborhoods) using cross-classified multilevel models (CCMM). Current practice is to cluster samples from one context (e.g., schools) and utilize the observations however they are distributed from the second context (e.g., neighborhoods). However, it is ... Read more >>

Health Place (Health & place)
[2018, 52:121-126]

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Disentangling the relative influence of schools and neighborhoods on adolescents' risk for depressive symptoms.

Erin C Dunn, Carly E Milliren, Clare R Evans, S V Subramanian, Tracy K Richmond,

Although schools and neighborhoods influence health, little is known about their relative importance, or the influence of one context after the influence of the other has been taken into account. We simultaneously examined the influence of each setting on depression among adolescents.Analyzing data from wave 1 (1994-1995) of the National ... Read more >>

Am J Public Health (American journal of public health)
[2015, 105(4):732-740]

Cited: 14 times

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