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Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Published by SAGE Publications, Incorporated, 1997
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Language: English
Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Language: English
Published by SAGE Publications Inc, 1998
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Language: English
Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Language: English
Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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paperback. 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 SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Language: English
Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Language: English
Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Language: English
Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Language: English
Published by SAGE Publications, Inc, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This text is designed to guide students through the logic underlying SEM approaches. It describes how SEM approaches relate to techniques like regression and factor analysis and analyzes the strengths and shortcomings of SEM as compared to alternative metho.
Language: English
Published by Sage Publications, Inc., 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the availability of software programs, such as LISREL, EQS, and AMOS, modelling (SEM) techniques have become a popular tool for formalized presentation of the hypothesized relationships underlying correlational research and test for the plausibility of the hypothesizing for a particular data set. However, the popularity of these techniques has often led to misunderstandings of them and even their misuse, particularly by students exposed to them for the first time. Through the use of careful narrative explanation, Maruyama's text describes the logic underlying SEM approaches, describes how SEM approaches relate to techniques like regression and factor analysis, analyzes the strengths and shortcomings of SEM as compared to alternative methodologies, and explores the various methodologies for analyzing structural equation data. In addition, Maruyama provides carefully constructed exercises both within and at the end of chapters.