Multilevel Models: Random Coefficient Models | Ian Brunton-Smith Published 2019-02-18 Download video MP4 360p Recommendations 08:34 Multilevel Models: Random Intercept Models | Ian Brunton-Smith 18:28 Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation 11:33 How to decide whether an effect is fixed or random in mixed models 11:27 Linear mixed effects models - the basics 08:09 Fixed and random effects with Tom Reader 00:39 Elon Musk Laughs at the Idea of Getting a PhD... and Explains How to Actually Be Useful! 1:01:02 Multilevel models 06:21 Multilevel Models: Introducing multilevel modelling | Ian Brunton-Smith 09:17 Multilevel (random slope) regression in Mplus 07:37 Random Intercept Multi-Level Models 25:32 Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6) 28:58 L11.2: Random Intercept and Slope Models 06:25 Random Slope Coefficient Multi-Level Models 15:38 Fitting mixed models in R (with lme4) 11:00 Linear mixed effects models - random slopes and interactions | R and SPSS Similar videos 05:19 When to Use (and Not Use) Multi-Level models 11:14 Random slope models 03:26 9. Example – Random Coefficients Model 17:14 12.3 Multilevel Modelling: Model comparison approach. 21:21 Multi-Level Modeling, Part 1 20:12 Random Coefficient Models 04:24 8. Random Coefficients (Slopes) Models 07:37 Module 3- Random Coefficients Model 13:56 R tutorial: Multilevel models part 2, fixed effects and explaining variance More results