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Autor(en): 
  • Gorsuch Richard L.
  • Factor Analysis: Classic Edition 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

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    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2014  
    Genre:  Psychologie / Pädagogik 
     
    advanced multivariate modeling / confirmatory analysis / data dimensionality reduction / factor rotation / higher-order constructs / MATHEMATICS / Probability & Statistics / General / matrix algebra / measurement invariance
    ISBN:  9781138831995 
    EAN-Code: 
    9781138831995 
    Verlag:  Taylor and Francis 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Psychology Press & Routledge Classic Editions  
    Dimensionen:  H 229 mm / B 152 mm / D  
    Gewicht:  654 gr 
    Seiten:  444 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use. Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today. An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book's thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.

      
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