I have run a binomial generalised linear mixed model (GLMM) via the lme4 package in R. Then I have got the result for it. In the paper, I wrote this for the result: b = 2.23, SE = 0.59, p The optimal model of mine is from this syntax: fm1 So I have three variables. They're all categorical. The first variable has two categories; the second one has two categories and the last one has three caetegories. The optimal model is the model with three-way interaction which means all variables are needed to explain the finding. And this is the output I've got from emmeans package to see if there are significant differences in each contrast: The example of my interpretations is 'The participants received significantly lower score in ao, clear, dm context than ao, con, dm context (b = -4.74, SE = 0.60, p However, after running your syntax, it gives me this: fixed OR: (Intercept) 1.12325891 0.344561581 3.66178542 seeav 0.67232263 0.211350426 2.13871213 conversationcon 114.08350756 34.934069849 372.56027577 maskno 4.13803353 1.306209092 13.10917341 masktm 4.28593809 1.35230524 13.58368513 seeav:conversationcon 0.20600737 0.039746429 1.06774463 seeav:maskno 0.72696183 0.142448961 3.70991474 seeav:masktm 0.82121327 0.160893533 4.19153725 conversationcon:maskno 0.01711682 0.003296817 0.08886925 conversationcon:masktm 0.04498217 0.008642170 0.23413050 seeav:conversationcon:maskno 30.95364883 3.069134163 312.18197875 seeav:conversationcon:masktm 9.80787459 0.971192946 99.04767571 So now I wonde…

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