multilevel

In the experiment, after a baseline assessment, participants will be assigned to one of two conditions (between-subjects factor). In condition A, I expect their response time to be higher in large stimuli than in small stimuli, but slower in colored stimuli than in b/w stimuli compared to their...

Hello to everyone :) I write to ask an advice about which type of analysis I should perform in the following situation. I have 2 groups: treatment group placebo group And two sessions of measurement for each group: session 1 (pre-treatment) session 2 (post-treatment) At session 1 and 2 I...

I want to look at the change in the percentage of income savings measured in dollars using repeated measures data for older adults. I want to compare three groups based on their father's occupation while growing up. I want to estimate different slopes and intercepts for the three groups. For...

Hi everyone, I'm trying to wrap my head around multilevel (or mixed-effect) models, but not quite succeeding. I have the following data from a pilot study: 221 ratings (mean of several items on 1-5 Likert scale) for trustworthiness from 13 people on 17 internet profiles (fully crossed). I'm...

Hi there, The title should read 3 or 4 level multilevel model, my apologies. I am estimating a multilevel model (in Stata). My goal is to examine the effects of the explanatory variables on the country level. My data is clustered within age cohorts and then countries with years clustered...

Hi all, Do any of you know how to cluster standard errors in a SEM-model constructed in AMOS? I have a paper which focuses on individuals in organizations. I have about 400 individuals distributed over about 200 organizations. In 80 organizations, I have just one respondent, in the other...

I am trying to fit a random slope model by "varComp" in R . For the following example , that is in "lmer" syntax , how can I write it in "varComp" syntax : library(lme4) library(varComp) fm1 <- lmer(Reaction ~ Days + (Days||Subject), sleepstudy) I am not understanding...

Hopefully the title says it. What do people see as potential/perceived weaknesses in the assumptions and/or misuses of HLM/multilevel modeling?

Hello I'd like to do a regression analysis with interactions, my data has two levels (school classes ans pupils). My variables are: Predictor = dummy variable on Level 1, dependent Variable = metric on level 1, moderator variable = metric, Level 2 I used the following command, but I am not...

Hi All, I have a hierarchical Bayes model that looks like: model{ #Overaching model for (i in 1:n){ y[i] ~ dnorm (yHat[i], tau.y) yHat[i] <- a[id[i]] + b.group*group[i] + b.wave*wave[i] + b.int*wave[i]*group[i] } #Fixed Effects b.group ~ dnorm(0, .0001) b.wave ~...

I have a data set where the outcome variable is percent passing (ELA and Math tests) for school districts. I will use a 2 level multilevel model with various predictors/covariates at level one and two. The outcome variable is percent passing. Obviously the outcome is limited to between 0...

Hello, I have read about but cannot find the answer to my queries. I am doing a study looking at the effects of positive thinking (PT) and exercise on depression. I'll be measuring at LEAST 2 outcomes. So far, depression levels and quality of life score levels using standardise inventories...

I'm working on a project with 233 observations from school districts in 10 states. Observations vary from between 3 and 108 observations per state. I am not interested in the state effects. I am only interested in the district level effects (the district level is Level 1-- there is no data on...

I'm trying to learn a bit more about multilevel modeling so I'm going to start this thread here and post questions about the process as I know there are several regulars here who use multilevel models frequently. I know the nmle package exists but I'm mostly trying to figure out how lme4 works...

Hi, I´m a beginner, so I´d be greatful for help. I use HLM 7: MY model: employees nested in organizations y= individual´s wellbeing x1/Control variable level 1= age x2/Control variable/predictor= subjective perception of climate level 2: W1(control)= firm size (continuos) w2...

I am having trouble writing the methods section for my dissertation research. I am using SEM/path analysis, and I cannot figure out how to include multilevel analysis for one of my IVs. One of my IVs has 6 levels of time associated with it. The outcome on the DV is being compared between each...

Hi, i know how to do this in Mlwin, but not in R. i want to reach the most parimonious multilevel model, so i want to check if the covariance between slopes and intercepts is statisticaly significant. To do this i want to define the covariance at zero, and then compare the -2logLikelihood of...