An Introduction To Multilevel Modeling Techniques Av Ronald Heck, Scott L. Thomas

<P>Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. </P><P>New to this edition:</P><UL><P><LI>An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals;</LI><P></P><P><LI>Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches;</LI><P></P><P

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