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General Linear Mixed Model
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1. General Linear Mixed Model
"Generalized linear mixed models extend linear mixed models, or hierarchical linear models, to accommodate noncontinuous responses, such as binary responses or counts. Such models are useful when the data are clustered in some way, a canonical example in education being students nested in schools."
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Citation: Rabe-Hesketh, S. & Skrondal, A. (2010). Generalized linear mixed models. In Peterson, P., Baker, E., & McGaw, B. (Eds.), International encyclopedia of education (3rd ed, pp 171-177). Elsevier Science. https://doi.org/10.1016/B978-0-08-044894-7.01332-4
MOBILIZING RESEARCH, PROMOTING FAMILY READINESS.

These materials were developed as a result of a partnership funded by the Department of Defense (DoD) between the DoD's Office of Military Community and Family Policy and the U.S. Department of Agriculture/National Institute of Food and Agriculture (USDA/NIFA) through a grant/cooperative agreement with Auburn University. USDA/NIFA Award No. 2021-48710-35671.


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