Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset

Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset

Abstract Background The multiple-indicator, multiple-cause model (MIMIC) incorporates covariates of interest in the factor analysis. It is a special case of structural equation modeling (SEM), which is modeled under latent variable framework. The MIMIC model provides rigorous results and becomes bro...

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Bibliographic Details
Main Authors: Chi Chang, Joseph Gardiner, Richard Houang, Yan-Liang Yu
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Medical Research Methodology
Subjects:
MIMIC model
MIDUS II
Statistical software package comparison
Cognitive functioning performance
Latent variable framework
Structural equation model
Online Access:http://link.springer.com/article/10.1186/s12874-020-01150-4

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http://link.springer.com/article/10.1186/s12874-020-01150-4

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