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Results tagged with mixed-model
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user 125251
Mixed (aka multilevel or hierarchical) models are linear models that include both fixed effects and random effects. They are used to model longitudinal or nested data.
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Seemingly identical variables behaving differently in lme4 binomial model
For future reference, we (semi-)fixed this by rounding our new vocabulary variable to the equivalent number of decimal places as the original one (9 decimal places), and it worked.
It seems odd/conce …
- 63
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1
answer
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Seemingly identical variables behaving differently in lme4 binomial model
I have a binomial mixed effects model that was fitted as follows:
Exp1recog <- glmer(acc ~ neighb*(time+vocab) + (1+neighb|ID) + (1+vocab+time|item), data = recog, family = binomial, control = glmerC …
- 63
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1
answer
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Follow-up comparisons from LMEM interaction
I have a dataset that consists of three predictor variables: time (1,2,3; within-subjects), density (1,2; within-subjects), vocabulary ability (continuous; between-subjects). The dependent variable is …
4
votes
1
answer
141
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Not-quite-binomial mixed effects
I have a language learning study with a few different dependent variables. For the majority of the tasks, responses to each item are either right (1) or wrong (0), and thus the data has been analysed …
- 65.9k