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      Multilevel Structural Equation Modeling

      1 in stock

      Firm sale: non returnable item
      SKU 9781544323053 Categories ,
      Select Guide Rating
       Multilevel Structural Equation Modeling serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is...

      £33.99

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      Description

      Product ID:9781544323053
      Product Form:Paperback / softback
      Country of Manufacture:US
      Series:Quantitative Applications in the Social Sciences
      Title:Multilevel Structural Equation Modeling
      Authors:Author: Bruno Castanho Silva, Levente Littvay, Constantin Manuel Bosancianu
      Page Count:144
      Subjects:Social research and statistics, Social research & statistics, Probability and statistics, Probability & statistics
      Description:Select Guide Rating
       Multilevel Structural Equation Modeling serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.
      Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, and Levente Littvay serves as a minimally technical overview of multilevel structural equation modeling (MSEM) for applied researchers and advanced graduate students in the social sciences. As the first book of its kind, this title is an accessible, hands-on introduction for beginners of the topic. The authors predict a growth in this area, fueled by both data availability and also the availability of new and improved software to run these models. The applied approach, combined with a graphical presentation style and minimal reliance on complex matrix algebra guarantee that this volume will be useful to social science graduate students wanting to utilize such models.
      Imprint Name:SAGE Publications Inc
      Publisher Name:SAGE Publications Inc
      Country of Publication:GB
      Publishing Date:2019-07-11

      Additional information

      Weight180 g
      Dimensions148 × 220 × 17 mm