9781461284550 - basic principles of structural equation modeling: an introduction to lisrel and eqs (springer texts in statistics) de mueller, ralph o. (13 resultados)
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Editorial: Springer 2011-10 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Editorial: Springer 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Editorial: Springer 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Condición: New. pp. 266 Index.
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Editorial: Springer New York 2012
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Paperback. Condición: Brand New. reprint edition. 296 pages. 9.25x6.10x0.70 inches. In Stock.
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Editorial: Springer New York 1996
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: Libro Co. Italia Srl, San Casciano Val di Pesa, FI, ItaliaLibro Co. Italia Srl
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Brossura. Condición: fine. 1996; br., pp. 264, cm 23x15,5. Libro.
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Editorial: Springer, Copernicus 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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Taschenbuch. Condición: 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.
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Editorial: Springer 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books
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Editorial: Springer 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Editorial: Springer 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Condición: New. Print on Demand pp. 266 24 Illus.
Idioma: Inglés
Editorial: Springer 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND pp. 266.
Idioma: Inglés
Editorial: Springer New York 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: moluna, Greven, Alemaniamoluna
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Condición: 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 edu…cation. Although its roots can be traced.
Idioma: Inglés
Editorial: Springer, Copernicus Okt 2011 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 it…s 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 KG, Sachsenplatz 4-6, 1201 Wien 264 pp. Englisch.
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Editorial: Springer New York Okt 2011 2011
Serie: Springer Texts in Statistics, Libro 110 de 111. Libro 110 de 111 - Springer Texts in Statistics
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: 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. Althoug…h 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.
