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The role of nonnormality and model s...

Sun, Shaojing.

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The role of nonnormality and model specification in testing latent variable interactions: A Monte Carlo study.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The role of nonnormality and model specification in testing latent variable interactions: A Monte Carlo study./
Author:	Sun, Shaojing.
Description:	115 p.
Notes:	Adviser: Timothy Konold.
Contained By:	Dissertation Abstracts International67-09A.
Subject:	Education, Tests and Measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3235101
ISBN:	9780542889028

The role of nonnormality and model specification in testing latent variable interactions: A Monte Carlo study.
Sun, Shaojing.

The role of nonnormality and model specification in testing latent variable interactions: A Monte Carlo study. - 115 p.

Adviser: Timothy Konold.

Thesis (Ph.D.)--University of Virginia, 2006.

This study examined the effects of data nonnormality, model misspecification, sample size, and effect size on testing latent variable interactions through an inspection of the Joreskog 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 x 2 x 3 x 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 were discussed.

ISBN: 9780542889028Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

The role of nonnormality and model specification in testing latent variable interactions: A Monte Carlo study.
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020 $a 9780542889028
035 $a (UMI)AAI3235101
035 $a AAI3235101
040 $a UMI $c UMI
100 1 $a Sun, Shaojing. $3 1270415
245 1 4 $a The role of nonnormality and model specification in testing latent variable interactions: A Monte Carlo study.
300 $a 115 p.
500 $a Adviser: Timothy Konold.
500 $a Source: Dissertation Abstracts International, Volume: 67-09, Section: A, page: 3373.
502 $a Thesis (Ph.D.)--University of Virginia, 2006.
520 $a This study examined the effects of data nonnormality, model misspecification, sample size, and effect size on testing latent variable interactions through an inspection of the Joreskog 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 x 2 x 3 x 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 were discussed.
590 $a School code: 0246.
650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Psychology, Psychometrics. $3 1017742
650 4 $a Statistics. $3 517247
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690 $a 0463
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710 2 $a University of Virginia. $3 645578
773 0 $t Dissertation Abstracts International $g 67-09A.
790 $a 0246
790 1 0 $a Konold, Timothy, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3235101