[R-meta] Multi-informant multi-level meta-analysis
Ross Neville
ro@@@nev|||e @end|ng |rom ucd@|e
Wed Nov 27 07:23:33 CET 2024
Dear Professor Viechtbauer
I'm conducting a meta-analysis where I have a nested data structure.
Each StudyID has an EstimateID for the control (EstimateID=1) and
intervention (EstimateID=2) arms.
Each arm also has multiple informants. The variable InformantID identifies
whether the EstimateID reflects data reported by teachers or parents.
Would the following random effect accurately capture that nested structure:
random = list(~ 1 | StudyID/EstimateID/InformantID)
The resulting random effects seem to align with what one would want to know:
estim sqrt nlvls fixed factor
sigma^2.1 8.6938 2.9485 40 no StudyID
sigma^2.2 7.1745 2.6785 78 no StudyID/EstimateID
sigma^2.3 2.8651 1.6927 92 no StudyID/EstimateID/InformantID
My interpretation of the above table is that:
- sigma^2.1 represents the between study variables
- sigma^2.2 represents the between estimate (i.e., between condition)
variability within studies
- sigma^2.3 represents the between informant (i.e., teacher vs parent)
variability within each condition within studies.
Does this interpretation sound correct to you?
Appreciate any feedback or guidance you can provide.
Regards
Ross
--
Dr Ross D. Neville, PhD, ProfCert University Teaching and Learning
Head of Subject - Sport Management
School of Public Health, Physiotherapy and Sport Science
University College Dublin (UCD)
Room G6 - Woodview House
Belfield, Dublin 4
ross.neville using ucd.ie
+353 (0) 1 716 3419
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