filmov
tv
Linear mixed effect models in Jamovi | 4 | Fit and degrees of freedom
Показать описание
In this video, I will demonstrate how to fit a linear mixed effect model.
I will discuss:
What is a mixed effect model?
Fixed effects
Random effects: grouping or clustering factor
The intercept
The slope
Organizing data
Model fitting and model comparison: AIC, BIC, LL
Checking the assumptions
Variance components: variance and mean
Intra-class correlation (ICC)
I will discuss:
What is a mixed effect model?
Fixed effects
Random effects: grouping or clustering factor
The intercept
The slope
Organizing data
Model fitting and model comparison: AIC, BIC, LL
Checking the assumptions
Variance components: variance and mean
Intra-class correlation (ICC)
0:11:27
Linear mixed effects models - the basics
0:18:37
Linear mixed effects models
0:17:30
Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)
0:36:17
018. Linear Mixed Effects Models
0:15:19
Linear mixed effect models in Jamovi | 1 | Introduction
0:26:17
(Simplified) Linear Mixed Model in R with lme()
0:08:09
Fixed and random effects with Tom Reader
0:18:28
Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation
3:58:16
Soutenance de thèse : Meng Chen
0:11:13
Lecture 9.1 Introduction to Mixed Effects Models
0:11:33
How to decide whether an effect is fixed or random in mixed models
0:11:00
Linear mixed effects models - random slopes and interactions | R and SPSS
0:17:02
Mixed Effects Models Part 1: What is a Mixed Effects Model?
0:37:25
A practical introduction to linear mixed effect models
0:35:03
Mixed Effects Models: A Conceptual Overview Using R
0:40:40
019. Linear Mixed Effects Models (Theory)
0:09:51
L11.1: Intro to Linear Mixed Models
0:06:52
Get R Done | R Stats Tutorials: Linear Mixed Effect Model / Multilevel Model
0:30:08
Lingstats - Lecture #29 - Linear Mixed Effects Models, part 1
0:23:46
Stats Apps Tutorials: 23. How to run Linear Mixed Effects Models in SPSS, JASP, and R
0:47:25
021. Linear Mixed Effect Models (Application)
0:20:00
Linear mixed effect models in Jamovi | 3 | Factor coding, scaling, & residual normality
0:15:41
Intro to Mixed Effect Models
0:01:25
New in Stata 15: Nonlinear mixed-effects models
Комментарии