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  • This popular text provides an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM). Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. Special features include a Web page offering data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources (xsd:string)
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  • 2005 (xsd:gyear)
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  • 2005 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • 1593850751 ()
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  • Principles and practice of structural equation modeling (xsd:string)
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  • Buch (de)
  • Monographie (xsd:string)
  • book (en)
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  • GESIS-BIB (xsd:string)
  • New York: Guilford Press, 2005.- 366 S. (xsd:string)
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