Description du livre Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. N� de r�f. du vendeur C9781461284550

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Basic Principles of Structural Equation Modeling: An Introduction to Lisrel and Eqs (Springer Texts in Statistics)

Ralph O. Mueller

Edit� par Springer New York (2012)

ISBN 10 : 1461284554 ISBN 13 : 9781461284550

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Description du livre Paperback. Etat : Brand New. reprint edition. 296 pages. 9.25x6.10x0.70 inches. In Stock. N� de r�f. du vendeur x-1461284554

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Basic Principles of Structural Equation Modeling : An Introduction to LISREL and EQS

Ralph O. Mueller

Edit� par Springer New York (2011)

ISBN 10 : 1461284554 ISBN 13 : 9781461284550

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Description du livre Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research. N� de r�f. du vendeur 9781461284550

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Basic Principles of Structural Equation Modeling : An Introduction to LISREL and EQS

Mueller, Ralph O.

Edit� par Springer 2011-10 (2011)

ISBN 10 : 1461284554 ISBN 13 : 9781461284550

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Description du livre PF. Etat : New. N� de r�f. du vendeur 6666-IUK-9781461284550

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Basic Principles of Structural Equation Modeling

Ralph O. Mueller

Edit� par Springer New York (2011)

ISBN 10 : 1461284554 ISBN 13 : 9781461284550

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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced. N� de r�f. du vendeur 4191027

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Basic Principles of Structural Equation Modeling

Ralph O. Mueller

Edit� par Springer New York Okt 2011 (2011)

ISBN 10 : 1461284554 ISBN 13 : 9781461284550

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Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -During the last two decades, structural equation modeling (SEM) has emerged as a powerful multivariate data analysis tool in social science research settings, especially in the fields of sociology, psychology, and education. Although its roots can be traced back to the first half of this century, when Spearman (1904) developed factor analysis and Wright (1934) introduced path analysis, it was not until the 1970s that the works by Karl Joreskog and his associates (e. g. , Joreskog, 1977; Joreskog and Van Thillo, 1973) began to make general SEM techniques accessible to the social and behavioral science research communities. Today, with the development and increasing avail ability of SEM computer programs, SEM has become a well-established and respected data analysis method, incorporating many of the traditional analysis techniques as special cases. State-of-the-art SEM software packages such as LISREL (Joreskog and Sorbom, 1993a,b) and EQS (Bentler, 1993; Bentler and Wu, 1993) handle a variety of ordinary least squares regression designs as well as complex structural equation models involving variables with arbitrary distributions. Unfortunately, many students and researchers hesitate to use SEM methods, perhaps due to the somewhat complex underlying statistical repre sentation and theory. In my opinion, social science students and researchers can benefit greatly from acquiring knowledge and skills in SEM since the methods-applied appropriately-can provide a bridge between the theo retical and empirical aspects of behavioral research. 264 pp. Englisch. N� de r�f. du vendeur 9781461284550

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