Mixed-effects modeling with crossed random effects for subjects and items
@article{Baayen2008MixedeffectsMW, title={Mixed-effects modeling with crossed random effects for subjects and items}, author={R. Harald Baayen and Douglas J. Davidson and Douglas M. Bates}, journal={Journal of Memory and Language}, year={2008}, volume={59}, pages={390-412} }
6,925 Citations
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An autoregressive GLMM with crossed random effects that accounts for variability in lag effects across persons and items is presented and is shown to be applicable to intensive binary time series eye-tracking data when researchers are interested in detecting experimental condition effects while controlling for previous responses.
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