Ejike Edeh Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Senior Graduate Assistant
unknown
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Biography and Research Information
OverviewAI-generated summary
Ejike Edeh's research focuses on statistical modeling techniques, particularly within the realm of structural equation modeling (SEM). His work investigates the sensitivity of SEM fit indices to various factors, including model complexity, misspecification, and prior informativeness in Bayesian SEM. Edeh has also explored the application of text-to-speech technology in educational assessment across different student populations. He has published five papers, accumulating 237 citations and an h-index of 2. Edeh collaborates with researchers at the University of Arkansas at Fayetteville, including Xinya Liang and Wen‐Juo Lo, and also with Ji Li from the University of Arkansas for Medical Sciences.
Metrics
- h-index: 2
- Publications: 5
- Citations: 246
Selected Publications
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Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling (2025)
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Correction: Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices (2025)
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Exploring Universal Text-to-Speech Use in Assessment Among Student Sub-Populations (2025)
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Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices (2025)
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Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook (2022)
Collaboration Network
Top Collaborators
- Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices
- Correction: Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices
- Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling
- Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices
- Correction: Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices
- Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling
- Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
- Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling
- Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
- Exploring Universal Text-to-Speech Use in Assessment Among Student Sub-Populations
- Exploring Universal Text-to-Speech Use in Assessment Among Student Sub-Populations
- Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling
- Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling
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