Multilevel Structural Equation Modeling

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Reference & Language, Reference, Research
Cover of the book Multilevel Structural Equation Modeling by Bruno Castanho Silva, Constantin Manuel Bosancianu, Levente Littvay, SAGE Publications
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Author: Bruno Castanho Silva, Constantin Manuel Bosancianu, Levente Littvay ISBN: 9781544323039
Publisher: SAGE Publications Publication: February 28, 2019
Imprint: SAGE Publications, Inc Language: English
Author: Bruno Castanho Silva, Constantin Manuel Bosancianu, Levente Littvay
ISBN: 9781544323039
Publisher: SAGE Publications
Publication: February 28, 2019
Imprint: SAGE Publications, Inc
Language: English

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.

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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.

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