The Effect of Regularized Unweighted Least Squares on CFI, TLI, RMSEA and TLI in Structural Equation Modeling
In a confirmatory investigation, researchers are mandated to employ covariance-based structural equation modeling (CB-SEM). A crucial assumption inherent in CB-SEM is the multivariate normality of the data. However, real-world data rarely conforms to a perfectly normal distribution. To address this,...
| Published in: | International Research Journal of Multidisciplinary Scope |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Iquz Galaxy Publisher
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208948140&doi=10.47857%2firjms.2024.05i04.01411&partnerID=40&md5=11cdd1ff32b49ba81cc918532b8b0129 |