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Partial invariance in loadings and intercepts-their interplays and implications for latent mean comparisons.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Partial invariance in loadings and intercepts-their interplays and implications for latent mean comparisons./
Author:	Yang, Yongwei.
Description:	1 online resource (201 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 69-12, Section: A.
Contained By:	Dissertations Abstracts International69-12A.
Subject:	Educational evaluation. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3297716click for full text (PQDT)
ISBN:	9780549486046

Partial invariance in loadings and intercepts-their interplays and implications for latent mean comparisons.
Yang, Yongwei.

Partial invariance in loadings and intercepts-their interplays and implications for latent mean comparisons. - 1 online resource (201 pages)

Source: Dissertations Abstracts International, Volume: 69-12, Section: A.

Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2008.

Includes bibliographical references

Mean and covariance structure modeling procedures have been widely used for assessing factorial invariance and the practice of partial factorial invariance (PFI) is common. This study investigates the extent to which PFI affects subsequent tests of intercept invariance and latent mean differences. The study implements a Monte Carlo experiment where factors of model size, severity of PFI, construct reliability, and intercept and latent mean difference pattern are manipulated. Results show that when partial loading invariance exists but is correctly specified, it did not negatively affect the power of the omnibus test of intercept invariance. However, results also suggest that relying on modification indices to determine noninvariant intercepts would be problematic-these indices are likely to lead to incorrect identifications of noninvariant parameters. With respect to latent mean comparisons, various forms of partial factorial invariance, when correctly specified, did not impact the test of latent mean differences. With the proliferation of educational research involving cross-group comparisons, researchers need to understand how PFI may affect analyses upon which substantive inferences are based. Findings from this study will provide a starting point for answering this very important question.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9780549486046Subjects--Topical Terms:

526425
Educational evaluation.
Subjects--Index Terms:

Factorial invarianceIndex Terms--Genre/Form:

542853
Electronic books.

Partial invariance in loadings and intercepts-their interplays and implications for latent mean comparisons.
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500 $a Source: Dissertations Abstracts International, Volume: 69-12, Section: A.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Bandalos, Deborah L.; Ayala, R. J. De.
502 $a Thesis (Ph.D.)--The University of Nebraska - Lincoln, 2008.
504 $a Includes bibliographical references
520 $a Mean and covariance structure modeling procedures have been widely used for assessing factorial invariance and the practice of partial factorial invariance (PFI) is common. This study investigates the extent to which PFI affects subsequent tests of intercept invariance and latent mean differences. The study implements a Monte Carlo experiment where factors of model size, severity of PFI, construct reliability, and intercept and latent mean difference pattern are manipulated. Results show that when partial loading invariance exists but is correctly specified, it did not negatively affect the power of the omnibus test of intercept invariance. However, results also suggest that relying on modification indices to determine noninvariant intercepts would be problematic-these indices are likely to lead to incorrect identifications of noninvariant parameters. With respect to latent mean comparisons, various forms of partial factorial invariance, when correctly specified, did not impact the test of latent mean differences. With the proliferation of educational research involving cross-group comparisons, researchers need to understand how PFI may affect analyses upon which substantive inferences are based. Findings from this study will provide a starting point for answering this very important question.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Educational evaluation. $3 526425
650 4 $a Statistics. $3 517247
650 4 $a Educational tests & measurements. $3 3168483
653 $a Factorial invariance
653 $a Latent mean
653 $a Loadings
653 $a Measurement invariance
653 $a Monte Carlo experiment
653 $a Partial intercept invariance
653 $a Partial invariance
653 $a Partial loading invariance
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690 $a 0463
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773 0 $t Dissertations Abstracts International $g 69-12A.
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