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Structural Equation Modeling : A Second Course

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Title: Structural Equation Modeling : A Second Course
Description: Sponsored by the American Educational Research Association's Special Interest Group for Educational StatisticiansThis volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
Authors: Gregory R. Hancock, Ralph O. Mueller
Resource Type: eBook.
Subjects: Analysis of covariance, Structural equation modeling, Linear models (Statistics), Multilevel models (Statistics)
Categories: MATHEMATICS / Probability & Statistics / General
Database: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Sponsored by the American Educational Research Association's Special Interest Group for Educational StatisticiansThis volume is the second edition of Hancock and Mueller's highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
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  Data: <searchLink fieldCode="DE" term="%22Analysis+of+covariance%22">Analysis of covariance</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Linear+models+%28Statistics%29%22">Linear models (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Multilevel+models+%28Statistics%29%22">Multilevel models (Statistics)</searchLink>
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        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Analysis of covariance
        Type: general
      – SubjectFull: Structural equation modeling
        Type: general
      – SubjectFull: Linear models (Statistics)
        Type: general
      – SubjectFull: Multilevel models (Statistics)
        Type: general
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      – TitleFull: Structural Equation Modeling : A Second Course
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          Name:
            NameFull: Gregory R. Hancock
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            NameFull: Ralph O. Mueller
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            NameFull: Gregory R. Hancock
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2013
            – D: 06
              M: 07
              Type: profile
              Y: 2017
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              Value: 9781623962456
            – Type: isbn-electronic
              Value: 9781623962463
            – Type: isbn-electronic
              Value: 9781806613922
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            – TitleFull: Structural Equation Modeling : A Second Course
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