The impact of missing data rates and imputation methods on the assumption of unidimensionality

Ayman Omar Baniamer

doi:10.1371/journal.pone.0321344

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Open Access

Peer-reviewed

Research Article

The impact of missing data rates and imputation methods on the assumption of unidimensionality

Ayman Omar Baniamer

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: ayman.baniamer@wise.edu.jo

Affiliation Curriculum and Teaching Department, The World Islamic Sciences and Education University W.I.S.E, Amman, Jordan

https://orcid.org/0000-0002-3848-6021

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The impact of missing data rates and imputation methods on the assumption of unidimensionality

Ayman Omar Baniamer

Published: April 30, 2025
https://doi.org/10.1371/journal.pone.0321344

About the Authors

Ayman Omar Baniamer

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: ayman.baniamer@wise.edu.jo

Affiliation Curriculum and Teaching Department, The World Islamic Sciences and Education University W.I.S.E, Amman, Jordan

https://orcid.org/0000-0002-3848-6021

Competing Interests

The authors have declared that no competing interests exist.

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Eigenvalues
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Factor analysis
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Machine learning
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