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Looking for advice on analysis plan using a mixed linear regression model

I am writing the preregistration for a study and I wanted to check whether my analysis plan can be improved. Data description I attached a picture of some random example data to give you a sense of my ...
Leon's user avatar
  • 21
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22 views

What variant of logistic regression is correct here?

Here is my setup: I have M=200 municipalities who all rank high in corruption For each municipality, I pick a random sample of ...
Li Wang's user avatar
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1 answer
37 views

Help Selecting Statistical Test

I am looking for advice on how to analyze some experimental data. My DV is a binary response variable - yes or no (coded as 1 and 0). Usually when I run experiments I fully cross all conditions ...
Eliza Watts Sells's user avatar
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1 answer
255 views

How to express mixed logistic regression in formal notation?

I'm working with glmer in the lme4 package in R to estimate a binary outcome variable from ...
Cole Robertson's user avatar
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624 views

Predicting individual-level outcome with only group-level data

Suppose I have summary data from a number of different classrooms, and I want to model a binary outcome (pass/fail) for individual students. I have no individual-level data. I have some classroom ...
DWal's user avatar
  • 101
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1 answer
105 views

How to interpret the output when one or two levels are significant in the seemingly insignificant categorical predictor in logistic regression

I am running a multilevel binary logistic in SPSS. The predictor variable in question is a categorical variable with four levels. In the first fixed effect table, it seems like the predictor variable ...
Jieun Kim's user avatar
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35 views

R/Lme4: Trouble specifying random effects properly in a repeated measures logistic HLM

I am having trouble getting appropriate random effects output when using the glmer command in lme4. My dataset is a long-form ...
Andrew Erhart's user avatar
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253 views

variance from xtpoisson in comparison to variance from xtlogit

I have a binary variable indicating whether a c-section was carried out or not. C-section is more than 10% prevalent in the population. I want to model predictors of c-section. Initially I had used ...
user2363642's user avatar
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56 views

Need help setting up multilevel logistic regression

I am trying to see the effect of a certain intervention in schools. The outcome variable is binary. We have students within schools. Also students' age is a covariate (doesn't changed before and after ...
Brian's user avatar
  • 331
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588 views

Increase of odds ratio in a non-significant predictor

I ran a hierarchical logistic regression with 2 blocks/predictors: I found out that block 1 is not a significant predictor, but block 2 is. Still: the odds ratio for block 1 is MUCH higher (2.90) ...
Lara's user avatar
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2k views

Hierarchical logistic regression package in R

I'm working on a logistic regression model; the purpose of the analysis is to identify factors that influence use of an app - the DV being use/no use, and IVs being a couple of numerical and ...
user290071's user avatar

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