paperback. Condizione: Good.
Condizione: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
Lingua: Inglese
Editore: SAGE Publications, Incorporated, 1997
ISBN 10: 0803974094 ISBN 13: 9780803974098
Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
paperback. Condizione: Very Good. Very Good paperback with light shelfwear - NICE! Standard-sized.
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EUR 251,48
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
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EUR 317,30
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 328 pages. 9.25x6.25x1.00 inches. In Stock.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Print on Demand pp. 328.
Da: Majestic Books, Hounslow, Regno Unito
EUR 261,99
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 328 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
Da: moluna, Greven, Germania
EUR 225,47
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Aggiungi al carrelloCondizione: 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.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 266,56
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 328.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 279,36
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Aggiungi al carrelloTaschenbuch. Condizione: 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.