Linear Causal Modeling with Structural Equations (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

by Stanley A. Mulaik

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Emphasizing causation as a functional relationship between variables, this book provides comprehensive coverage on the basics of SEM. It takes readers through the process of identifying, estimating, analyzing, and evaluating a range of models. The author discusses the history and philosophy of causality and its place in science and presents graph theory as a tool for the design and analysis of causal models. He explains how the algorithms in SEM are derived and how they work, covers various indices and tests for evaluating the fit of structural equation models to data, and explores recent research in graph theory, path tracing rules, and model evaluation.
  • ISBN13 9781439800393
  • Publish Date 16 June 2009
  • Publish Status Active
  • Publish Country GB
  • Publisher Taylor & Francis Ltd
  • Imprint Chapman & Hall/CRC
  • Format eBook
  • Pages 468
  • Language English