Hierarchical Linear Modeling Vs Multilevel Modeling

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Hierarchical Linear Modeling

This book provides a brief, easy-to-read guide to implementing hierarchical linear modeling using three leading software platforms, followed by a set of original how-to applications articles following a standardard instructional format. The "guide" portion consists of five chapters by the editor, providing an overview of HLM, discussion of methodological assumptions, and parallel worked model examples in SPSS, SAS, and HLM software. The "applications" portion consists of ten contributions in which authors provide step by step presentations of how HLM is implemented and reported for introductory to intermediate applications.
Hierarchical Linear Models

New edition of a text in which Raudenbush (U. of Michigan) and Bryk (sociology, U. of Chicago) provide examples, explanations, and illustrations of the theory and use of hierarchical linear models (HLM). New material in Part I (Logic) includes information on multivariate growth models and other topics.
Data Analysis Using Regression and Multilevel/Hierarchical Models

Author: Andrew Gelman
language: en
Publisher: Cambridge University Press
Release Date: 2007
This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.