Advanced Two Level Hierarchical Models
This is a sample hierarchical linear model research. This model begins with the necessary nitty-gritty of data analyses in R and culminates in an advanced 2-level mixed linear model (MLM) which contains fixed slopes, random slopes and even moderators. It took quite a while for me to figure out ways to conduct these analyses, especially the MLMs. Thus, this report is for my own resource. Thus, it doesn’t have much description. I have some explanation especially of the one’s I think I may forget. If you happen to visit this page, you are on luck!! Highlights Null Model Using lmer() function Random Intercept, Fixed Slope Models Random Intercept, Random Slope Models Best Fitting Model Model Comparison Plotting Models (Random effects and Fixed effects) APA Tables Calculating R-Squared, Omega-Squared values etc. Select Working Directory setwd( "C:/Users/nirma/Desktop/FJER Copies" ) Loading Required Libraries When you become an advance R user, you refrain loading