# lmer

1. ### Multilevel meta-analysis in R using lme4 and lmer

Dear users, I am running multilevel meta-analyses in R using lme4 and lmer. lmer(effect size ~ -1 + Covariate + (1|StudyID), data = data, weights = weights) My question is – is there a way to calculate confidence intervals that takes into account the fact that some effects are nested...
2. ### Help with standardized coefficients in lmer

Hi, I need to report standardized coefficients for the predictors in my model. I *think* I have figured out how to do this for my model of response time, by scaling all variables e.g. RT.lmer = lmer(scale(RT) ~ scale(type) + scale(speed) + (1|subject) + (1|word), RTdata) and then asking...
3. ### Problems with S+ and nested GLM models. Is there an R solution?

Sorry for cross posting this but I'm not sure where to post this. I was wondering if someone might be able to help. My department has just changed statistic programs to S+ and I'm trying to run a multi-factorial GLM with one nested factor (design below). What was simple task in our old...
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### within-subjects design using lmer and random effect

I conducted a study with two crossed within-subjects factors. 44 subjects used a single interface for 6 rounds. Each round contained 3 trials, each with a different memory task condition (3 conditions in random order). So this makes a 3x6 design. There are generally large individual differences...
5. ### Difference between MCMCsamp and sim

Trying to get confidence intervals on a fixed effect in a mixed model fitted with the lmer function in package lme4 in R. I can get distributions of beta using "mcmcsamp" function and estimate a confidence interval from that, but I can also do it using "sim" in the package arm. While they both...
6. ### Predicting Random Slopes

I have a model as follows: Level 1 (students): Variables = educational aspirations (expect) and socioeconomic status (ses) Level 2 (schools): not interested in this level just controlling for it Level 3 (countries): Variables = educational equity (ICC) the models is...
7. ### Comparing Mixed Model results with OLS regression

Hi there. I'm an inexperienced an entirely self-taught statistician fighting a huge deadline. I'd be most grateful for advice! Background: I've been working on fitting an HLM model that explores the spatial relationships between crime and socio-economic factors such as deprivation scores...
8. ### Lmer Output/: variable re-levelling

Morning/Evening all I'm having a bit of a time getting the LME4 package to list ALL of my IVs, rather than all-1. By way of example, here is my model/output (testing the effect of a voice on participant answers to yes/no questions) model = lmer(supportive ~ Voice + question +(1|participant)...
9. ### Post-hoc tests in lmer() R

Hi all, I'll try to make this my last question of the week. Hard to do this, of course, when everyone is so helpful. This is a Q for those somewhat familiar with GLMMs in R, as implemented by lmer() in the "lme4" package. I'm well aware of the fact the reported p-values are generally to...
10. ### Problem with mixed effects model with binary data

Hi guys, I have a question about logit mixed effects model. I tried to use lmer to fit a model with binary dependent variable (Yes or No), a categorical fixed predictor with 3 levels, and two random effects. However, it turned out that one level of the fixed resulted in only positive outcomes...