Advantages of Hierarchical Linear Models (HLM) of Raudenbush & Bryk (2002) Second Edition

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Abstract

The Advantages of Hierarchical Linear Models (HLM) of Raudenbush & Bryk
(2002) second edition when compare with the first edition of Bryk & Raudenbush
(1992) are 1) hierarchical data structure second edition is familiar with a common
phenomenon 2) improved estimation of individual effects 3) modeling cross-level
effects 4) partitioning variance-covariance components 5) an expanded range of outcome
variables 6) incorporating cross-classified data structures 7) multivariate models 8)
latent variables models and 9) Bayesian inference.

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