Ejike Edeh
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Senior Graduate Assistant
Unknown Researcher
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Biography and Research Information
OverviewAI-generated summary
Ejike Edeh's research focuses on statistical modeling techniques, particularly within the framework of structural equation modeling (SEM). His work investigates the performance and sensitivity of various SEM fit indices under different conditions, such as varying model sizes, prior informativeness in Bayesian SEM, and model misspecification. Edeh has also explored the application of text-to-speech technology in educational assessment for diverse student populations. His scholarly contributions include five publications, amassing 252 citations and an h-index of 2. Edeh has collaborated with researchers Xinya Liang and Wen-Juo Lo at the University of Arkansas at Fayetteville on multiple projects, and also with Ronald K Brimberry and Ji Li from the University of Arkansas for Medical Sciences.
Metrics
- h-index: 3
- Publications: 5
- Citations: 266
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
- Sensitivity of Fit Indices to Model Complexity and Misspecification in Exploratory Structural Equation Modeling
- Correction: Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices
- 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
- Correction: Probing beyond: The impact of model size and prior informativeness on Bayesian SEM fit indices
- 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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