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Testing Latent Variable Interaction by Sun Shaojing (15 results)
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Testing Latent Variable Interaction Effect: dealing with data nonnormality and model misspecification
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 47.15
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Testing Latent Variable Interaction Effect: dealing with data nonnormality and model misspecification
Language: English
Published by VDM Verlag 2009-06-26, 2009
ISBN 10: 363917366X ISBN 13: 9783639173666
Paperback. Condition: New.
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Testing Latent Variable Interaction Effect : Dealing With Data Nonnormality and Model Misspecification
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Testing Latent Variable Interaction Effect
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 363917366X ISBN 13: 9783639173666
Condition: New. pp. 124.
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Testing Latent Variable Interaction Effect | dealing with data nonnormality and model misspecification
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 363917366X ISBN 13: 9783639173666
Taschenbuch. Condition: Neu. Testing Latent Variable Interaction Effect | dealing with data nonnormality and model misspecification | Sun Shaojing | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639173666 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Testing Latent Variable Interaction Effect : Dealing With Data Nonnormality and Model Misspecification
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 125.99
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Testing Latent Variable Interaction Effect dealing with data nonnormality and model misspecification
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Testing Latent Variable Interaction Effect
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 363917366X ISBN 13: 9783639173666
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: sun shaojingShaojing Sun, Currently an associate professor of the School ofnJournalism at Fudan University in China. He obtained his first nPh.D. in communication from Kent State University, and second nPh.D. in research methodology .
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Testing Latent Variable Interaction Effect
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 363917366X ISBN 13: 9783639173666
Condition: New. Print on Demand pp. 124 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Testing Latent Variable Interaction Effect
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2009
ISBN 10: 363917366X ISBN 13: 9783639173666
Condition: New. PRINT ON DEMAND pp. 124.
-
Testing Latent Variable Interaction Effect : dealing with data nonnormality and model misspecification
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 363917366X ISBN 13: 9783639173666
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book discusses the effects of data nonnormality, model misspecification, sample size, and effect size on testing latent variable interactions through an inspection of the Jöreskog and Yang's (1996) model. Mattson's (1997) method was used to generate nonnormal latent variables in this Monte Carlo study. One covariance parameter was deleted for investigating the influence of misspecified models. The simulation involved a balanced experimental design, with 3 × 2 × 3 × 3 = 54 combinations. Data analysis focused on bias of estimating parameters, standard errors, model fit indexes. Variance partition was conducted to further examine the unique and combined influence of the factors (i.e., data nonnormality, model specification, sample size, effect size). Results indicated that data nonnormality and model misspecification had large effects on fit indexes (e.g., SRMR, RMSEA). Also, severe nonnormality led to a large bias of estimating the interaction effect. Implications of and recommendations for testing latent variable interactions are discussed.
