Testing Latent Variable Interaction Effect : dealing with data nonnormality and model misspecification

Language: English

Published by VDM Verlag Dr. Müller, 2009

363917366X / 9783639173666

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

Seller Inventory # 9783639173666

Title
Testing Latent Variable Interaction Effect : dealing with data nonnormality and model misspecification
Author
Sun Shaojing
Publisher
VDM Verlag Dr. Müller
Publication year
2009
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
363917366X
ISBN 13
9783639173666
Item weight
201 grams
Dimensions
22.00x15.00x0.70 cm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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