random effect

Dear members ,I have a problem with my thesis while using regression. In short: My fixed effects model is not significant and has no meaningfulness whatsoever. My random effects model is significant and could be used. But: Hausman tests strongly suggests, that I should use fixed effects and...

I have data from 200 similar studies, all measuring the same effect of a continuous independent variable on the same continuous response. I say similar because the designs are different (split plot vs. rcbd) and the levels of the independent variable is not the same across all studies. I have...

I have an eye tracking study in which two groups of subjects (patient and control) are completing a face recognition task in which they learn a set of faces and then are shown faces one at a time and have to decide if each face is one that they learned earlier. During the task, we are recording...

Hello, I have collected mortality data and several covariates (data on treatment and vital parameters) from patients in two different hospitals. My goal is to analyse effects of treatments on mortality while adjusting for covariates, and using logistic regression would be my first choice to...

Hi there, I know what fixed and random effects in linear models or GLM are. I am using Generalized Linear Mixed Models (GLMM) to handle this. So far, so good. One point worries me, for months actually. In all textbooks, all websites, etc., GLMM is presented as a method to handle...

I am conducting an analysis over multiple subjects over several sessions with two types of controls. I want to conduct a mixed model analysis to see if there is a difference with respect to control type. This is what i have so far: I have session nested in subject. Accuracy= dependent variable...

Hi all, I have a CRD with 4 reps and 4 treatments (A, B, C, D). The study took place in 1 location for 3 years. I want to pool over years (so treat year as random effect). I am interested in main effects and up to 2-way interactions. So I am using the following model and random statement...

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...

Hi, I have completed a 2x2 experiment testing the effect of level of information (high vs. low) by spokesperson gender (male female). For each condition (e.g. high info-male) there are four replications. As much as I understand, it is recommended that replications are treated as random...