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Analysis of Functional Magnetic Resonance Imaging Data : = A Comparison of Extended Unified Structural Equation Modeling (euSEM) and Generalized Structured Components Analysis (GSCA).

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Analysis of Functional Magnetic Resonance Imaging Data :/
Reminder of title:	A Comparison of Extended Unified Structural Equation Modeling (euSEM) and Generalized Structured Components Analysis (GSCA).
Author:	Lipton, Abraham K.
Description:	1 online resource (178 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
Contained By:	Dissertations Abstracts International84-01B.
Subject:	Quantitative psychology. -
Online resource:	click for full text (PQDT)
ISBN:	9798834057505

Analysis of Functional Magnetic Resonance Imaging Data : = A Comparison of Extended Unified Structural Equation Modeling (euSEM) and Generalized Structured Components Analysis (GSCA).
Lipton, Abraham K.

Analysis of Functional Magnetic Resonance Imaging Data :A Comparison of Extended Unified Structural Equation Modeling (euSEM) and Generalized Structured Components Analysis (GSCA). - 1 online resource (178 pages)

Source: Dissertations Abstracts International, Volume: 84-01, Section: B.

Thesis (Ph.D.)--Fordham University, 2022.

Includes bibliographical references

Structural Equation Modeling (SEM) is a broad family of models which can be utilized to assess the relationship between latent variables. In the context of fMRI analysis, extended unified SEM (euSEM) and Generalized structured components analysis (GSCA) represent two different SEM approaches. This dissertation examined how these models perform under non-normality, low correlations between indicators, and model misspecification via simulations. The four criteria used to assess the performance were bias, Type I error, power, and convergence percentage. The results from the simulations were applied to an empirical dataset. In summary, GSCA was found to be more powerful but also more biased than euSEM. This was true for all levels of normality, correlation, and model specification.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798834057505Subjects--Topical Terms:

1182802
Quantitative psychology.
Subjects--Index Terms:

GSCAIndex Terms--Genre/Form:

554714
Electronic books.

Analysis of Functional Magnetic Resonance Imaging Data : = A Comparison of Extended Unified Structural Equation Modeling (euSEM) and Generalized Structured Components Analysis (GSCA).
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