ISBN: 9780805855876 - a first course in structural equation modeling (19 risultati)

gebundene Ausgabe. Condizione: Gut. Second Edition. 238 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 480. …

Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 248 2nd Edition.

Condizione: New. pp. 248.

Condizione: New.

Condizione: New. In English.

Hardcover. Condizione: Brand New. 2nd hardback/cd-rom edition. 238 pages. 8.75x6.00x0.50 inches. In Stock.

Condizione: New. Introduces students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. Featuring examples from EQS, LISREL, and Mplus, this is a beginner's guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. Num Pages: 248 pages, Illustrations. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 229 x 152 x 19. Weight in Grams: 476. . 2006. 2nd Edition. hardcover. . . . . Books ship from the US and Ireland.…

Condizione: gut. 2006. A First Course in Structural Equation Modeling. In englischer Sprache. pages.

Condizione: New. Introduces students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. Featuring examples from EQS, LISREL, and Mplus, this is a beginner's guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. Num Pages: 248 pages, Illustrations. BIC Classification: PBT. Category: (UU) Undergraduate. Dimension: 229 x 152 x 19. Weight in Grams: 476. . 2006. 2nd Edition. hardcover. . . . .…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tenko Raykov (Author) , George A. Marcoulides (Author)Tenko Raykov, George A. MarcoulidesIn this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptu.…

Condizione: New. pp. 248 This item is printed on demand.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one.Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner's guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software.Highlights of the Second Edition include:Review of latent change (growth) analysis models at an introductory levelCoverage of the popular Mplus programUpdated examples of LISREL and EQSDownloadable resources that contains all of the text's LISREL, EQS, and Mplus examplesA First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.…