Hierarchical Linear Models (aka Multilevel Modeling): The Basics Published 2021-12-09 Download video MP4 360p Recommendations 1:01:02 Multilevel models 18:28 Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation 06:08 Hierarchical Linear Regression 1:44:43 An Introduction to Multilevel Modeling - basic terms and research examples - John Nezlek 21:34 Multilevel models in R 11:27 Linear mixed effects models - the basics 26:17 (Simplified) Linear Mixed Model in R with lme() 15:38 Fitting mixed models in R (with lme4) 11:33 How to decide whether an effect is fixed or random in mixed models 20:19 Understanding Generalized Linear Models (Logistic, Poisson, etc.) 08:09 Fixed and random effects with Tom Reader 18:37 Linear mixed effects models 08:34 Multilevel Models: Random Intercept Models | Ian Brunton-Smith 11:00 Linear mixed effects models - random slopes and interactions | R and SPSS 12:48 Nonlinear mixed effects models (NLME) - explained 56:09 R - Multilevel Models Lecture (Updated) 43:56 Multilevel regression using Stata: Modeling two-level data (Dec. 2019) Similar videos 01:56 Hierarchical Linear Modeling 21:21 Multi-Level Modeling, Part 1 07:15 Lesson 22d Hierarchical Models: MixedEffects 28:23 Hierarchical Linear Regression in R 06:36 12.1 Multilevel Modelling: Introduction 58:16 Inference for Variance Components in Hierarchical Linear Models 07:09 Introduction to multilevel data 12:49 Getting Started: Hierarchical Linear Modeling HLM 7 Software. MDM File & Null Model for Nested Data 08:00 Why Hierarchical Linear Modeling (HLM) for nested/clustered/multilevel data? An easy explanation More results