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Basic Principles of Structural Equation Modelling: An Introduction to Lisrel and Eqs - Couverture rigide
Synopsis
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.
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- ÉditeurSpringer-Verlag New York Inc.
- Date d'édition1995
- ISBN 10 0387945164
- ISBN 13 9780387945163
- ReliureRelié
- Langueanglais
- Numéro d'édition1
- Nombre de pages232
- Coordonnées du fabricantnon disponible
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Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (Springer Texts in Statistics)
Edité par
Springer, 1995
ISBN 10 : 0387945164
ISBN 13 : 9780387945163
Ancien ou d'occasion
Couverture rigide
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Basic Principles of Structural Equation Modeling : An Introduction to LISREL and EQS
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Springer New York, 1999
ISBN 10 : 0387945164
ISBN 13 : 9780387945163
Ancien ou d'occasion
Couverture rigide
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Basic Principles of Structural Equation Modeling: An Introduction to Lisrel and Eqs
Edité par
Springer, 1995
ISBN 10 : 0387945164
ISBN 13 : 9780387945163
Ancien ou d'occasion
Couverture rigide
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Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS
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Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (Springer Texts in Statistics).
Edité par
Springer., 1995
ISBN 10 : 0387945164
ISBN 13 : 9780387945163
Ancien ou d'occasion
Couverture rigide
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Basic principles of structural equation modelling. An introduction to lisrel and eqs - Ralph O. Mueller
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1999, 1995
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ISBN 13 : 9780387945163
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Basic Principles of Structural Equation Modeling
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Springer New York, 1995
ISBN 10 : 0387945164
ISBN 13 : 9780387945163
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Gebunden. 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 réf. du vendeur 5912055
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Basic Principles of Structural Equation Modeling
Edité par
Springer New York Okt 1995, 1995
ISBN 10 : 0387945164
ISBN 13 : 9780387945163
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Buch. 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. 268 pp. Englisch. N° de réf. du vendeur 9780387945163
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Basic Principles of Structural Equation Modeling: An Introduction to LISREL and EQS (Springer Texts in Statistics)
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Basic Principles of Structural Equation Modeling
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Springer New York, Springer US Okt 1995, 1995
ISBN 10 : 0387945164
ISBN 13 : 9780387945163
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch. N° de réf. du vendeur 9780387945163
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