Multilevel Modeling: Methodological Advances, Issues, and Applications
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This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world.
The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analy...























