This tag is too generic. Please consider using `multilevel-analysis`, `mixed-model`, or `hierarchical-bayesian` tags instead.

learn more… | top users | synonyms

0
votes
0answers
4 views

Saving level 2 residuals in SPSS [migrated]

I am estimating a twolevel regression model in SPSS using the mixed procedure and would like to plot the level-2 residuals; however, I only get residuals for the observations at level-1. Can anyone ...
0
votes
0answers
13 views

Standardization of data during multilevel analysis

Recently I obsessed about standardization of scores. I am looking into statistical literature to see if standardization of data is OK or not. a brief about standardization: ...
1
vote
2answers
48 views

Clustered data WITHOUT multilevel / GEE model?

I have a data-set with around 700 observations from 12 centres. Although the clustering effect as tested in a random intercept model didn't seem significant, it seems more appropriate to use a ...
0
votes
0answers
21 views

Multilevel analysis of dyadic data with all predictors categorical & on level 1

I’am trying to get a new perspective on some data on sleep deprivation and counter measures and thanks in advance everybody for investing some brain power in my problem. Here comes a brief ...
0
votes
0answers
34 views

RESET Test and Heteroscedasticity Test for Hierarchical Multilevel Model

Are there implemented tests in R to check heteroscedasticity and linearity for multilevel regressions? I am using a two Level Regression Framework (lmer function in R). Is it necessary to do those ...
0
votes
0answers
27 views

Include lower level (2-way and 3-way) interactions in 3-level multilevel model?

I have a three level multilevel model (therapists, patients, repeated measures) in which I have included 4-way interactions, for instance: therapist self-efficacy * treatment condition * patient on ...
0
votes
0answers
65 views

Group-level dependent variable and within-group interdependent events (Mplus?)

Here is a minimum viable example that resembles my problem: Subjects are human individuals Subjects are characterized by a set of categorical and continuous variables Subjects engage in a varying ...
0
votes
0answers
114 views

how to assess multilevel model assumptions using residual plots

I am not clear as to how to assess if a multilevel model fit using lmer satisfies the assumptions of Normality and Homoscedasticity? I have used the following r code and i find that histogram of ...
0
votes
1answer
75 views

Are multilevel model and random effect model the same concept?

I saw from their Wikipedia page, and my impression is that both are developed when the data is nested. Are multilevel model and random effect model the same concept? If they are not, what are their ...
0
votes
0answers
70 views

How can one perform a multilevel ANOVA in R?

I want to apply a multilevel analysis of variance, using Bayesian framework (as was proposed by Gelman, 2005). I wish to identify the main factors to be used together in a GAM model. In this case, ...
2
votes
0answers
95 views

Hierarchical regression with partially nested variables

I would like to do a logistic regression of vaccination coverage of, for example, $HPV$. Let's assume that we have 50 states ($S$). 30 states have an urban part and a country part (urbanity variable ...
1
vote
0answers
65 views

Multilevel model by two step estimation

Consider the simple multilevel model $$ \begin{align} Y_{ij} &= X_{ij} B + u_{ij}, \\ B &= Z_{j}R + e_{j}. \\ \end{align} $$ What happens if firstly the parameters vector $B$ is estimated by ...
0
votes
0answers
54 views

What is the difference between multilevel modeling and three factor nested mixed ANOVA

I have time nested in students, nested in teachers. How would this look in a three factor set up A x B x C? time = 3 occasions students = randomly assigned to four conditions teachers = 20 any ...
0
votes
0answers
32 views

Multilevel time series vs. multilevel n-1 vs. case series design

I am carrying out a pilot intervention study with no placebo (so intervention only) with about 5-10 participants. Now I am wondering what will be the best statistical technique to use: multilevel ...
0
votes
0answers
67 views

Variance explained in multilevel model - why based on covariance parameters & not information criteria (-2LL)?

In logistic regression, using Hosmer Lemeshow's approach, the effect size or variance explained is the amount of reduction in -2LL of the developed model (which equals the chi square statistic of the ...
2
votes
1answer
331 views

Mixed-model ANOVA vs multilevel modelling

Is mixed model ANOVA the same as multilevel modelling? If so, how do they differ? I am trying to compare inter- and intraindividual differences and not sure which one is the better approach.
0
votes
0answers
51 views

Interpreting interactions in multilevel model

I'm running a rather simple multilevel model in which I have two variables interacting at level 1. The interaction term is significant, but I'm not sure how to interpret it properly. I am familiar ...
1
vote
0answers
100 views

Modeling spatial correlations with multilevel data

I have ~5M records of spatial polar coordinates (r and theta). These 5M records are from 400 different 'locations' that I have ~150 variables for (no NAs). I also have 1 binary variable used to flag ...
2
votes
1answer
175 views

Multilevel bayesian with AR1 correlation structure

How do I fit a bayesian multilevel model with with AR(1) correlation structure? I am trying to teach myself bayesian modelling and I am wondering how you could specify a multilevel model with an ...
4
votes
1answer
316 views

Interpreting interaction effects in a multilevel model

I conducted a multilevel analysis using repeated measures across four time points. The model contains intercept, linear slope and quadratic slope. I am interested in examining the extent to which ...
1
vote
0answers
55 views

Is multilevel analysis with aggregation terms the best approach for this situation?

My research model has two levels of dependent variable, at the organizational level and a predictor variable at individual level. I have 500 answers from 5 middle managers (in each firm) in 100 firms ...
5
votes
1answer
438 views

Dealing with a categorical variable that can take multiple levels simultaneously

I recently posted a question with many parts and I'd like to focus in on just one issue that I didn't emphasize in the original post. My data is a list of records, each one representing an ...
0
votes
0answers
462 views

How to implement credible 95% interval for median odds ratio using JAGS?

As described in Merlo et al (J Epidem Comm Health 2006), the 95% credible interval for MOR is calculated using MCMC. MOR is defined as $\exp(\sqrt{2\sigma^2}\times 0.675)$, where $\sigma$ is the ...
1
vote
0answers
306 views

How to check and correct heteroskedasticity in a multilevel model?

I've conducted an experiment in which we have registered a physiological measure (FR) of 30 participants in two different conditions. In each condition, I registered the measure in 20 time points, ...
1
vote
0answers
261 views

Fixed effects contrasts in multilevel model

I'have fitted a mixed model in SPSS with fixed and random effects, and I would like to know what do the Fixed effects contrasts (type III) mean... In my model they are significant (e.g F=23.9; ...
0
votes
1answer
258 views

Data standardization in a repeated measures multilevel model

We have conducted a repeated measures experiment in which we have registered the response time (RT) of each subject in 21 trials in each of 2 conditions. I have some questions related to the best ...
0
votes
0answers
291 views

Covariance matrix in multilevel repeated measures model

I'm trying to fit a multilevel model for a repeated mesures design with three levels: Sujects - conditions - trials. Each subject pass the test in two conditions, and there are 21 trials in each ...
1
vote
1answer
225 views

Estimating adjusted rate ratios for categorical independent variable measured only as population percents

I have counts of people with a condition, by age (5-year groups), sex, and area (100-200 areas). For each area, I have: estimated population by age (5-year groups) and sex, estimated population ...