Best practices in multilevel modeling for within-cluster group comparisons: An evaluation of coding strategies reflecting group composition and heterogeneity.
- DOI
- 10.1037/met0000836
- Published
- 2026 Jun 15
- Container
- Psychological methods
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1037/met0000836,
title = {Best practices in multilevel modeling for within-cluster group comparisons: An evaluation of coding strategies reflecting group composition and heterogeneity.},
author = {Zhang Q and Liu X and Ke Z},
year = {2026},
journal = {Psychological methods},
doi = {10.1037/met0000836},
url = {https://doi.org/10.1037/met0000836}
}RIS
TY - JOUR TI - Best practices in multilevel modeling for within-cluster group comparisons: An evaluation of coding strategies reflecting group composition and heterogeneity. AU - Zhang Q AU - Liu X AU - Ke Z PY - 2026 JO - Psychological methods DO - 10.1037/met0000836 UR - https://doi.org/10.1037/met0000836 ER -
APA
Q, Z., X, L., & Z, K. (2026). Best practices in multilevel modeling for within-cluster group comparisons: An evaluation of coding strategies reflecting group composition and heterogeneity.. Psychological methods. https://doi.org/10.1037/met0000836
Source records
- pubmed · retrieved 2026-09-24T21:23:40.502Z
- europe-pmc · retrieved 2026-09-24T21:23:40.526Z