Basic Principles Structural Equation by Ralph Mueller (34 results)
Language: English
Published by Springer 1999
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer 1995
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Language: English
Published by Springer 1995
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hardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.
Language: English
Published by Springer 1995
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Language: English
Published by Springer 1996
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9780387945163.
Language: English
Published by Springer 1995
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer. 1995
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Corrected. 16 x 23 cm. 260 pages. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
Language: English
Published by Springer 1995
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer 1995
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Language: English
Published by Springer 1995
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Language: English
Published by Springer 1995
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Language: English
Published by Springer 2011-10 2011
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer 2011
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Language: English
Published by Springer 1995
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Language: English
Published by Springer 1995
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Condition: New. pp. 268.
Language: English
Published by Springer 2011
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Condition: New. pp. 266 Index.
Language: English
Published by Springer 1995
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Language: English
Published by Springer New York 2012
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Paperback. Condition: Brand New. reprint edition. 296 pages. 9.25x6.10x0.70 inches. In Stock.
Language: English
Published by Springer New York 1999
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Condition: Gut. Zustand: Gut | Seiten: 268 | Sprache: Englisch | Produktart: Bücher | 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.
Language: English
Published by Springer, Copernicus 2011
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
- Softcover
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Taschenbuch. Condition: 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.
Language: English
Published by Springer, Copernicus 1995
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: 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 trac…ed 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.
Language: English
Published by Springer 2011
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
- Softcover
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Language: English
Published by Springer 2011
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Language: English
Published by Springer New York Okt 1995 1995
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
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Buch. Condition: 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 r…oots 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.
Language: English
Published by Springer 1995
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Condition: New. Print on Demand pp. 268 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
Language: English
Published by Springer 2011
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Condition: New. Print on Demand pp. 266 24 Illus.
Language: English
Published by Springer 1995
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Condition: New. PRINT ON DEMAND pp. 268.
Language: English
Published by Springer 2011
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Language: English
Published by Springer New York 1995
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Gebunden. Condition: 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, psycholog…y, and education. Although its roots can be traced.
Language: English
Published by Springer New York 2011
Series: Springer Texts in Statistics, Book 110 of 111. Book 110 of 111 - Springer Texts in Statistics
- Softcover
- Print on Demand
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Condition: 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.
