Elizabeth A. Keiffer
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Elizabeth A. Keiffer's research focuses on statistical methods for analyzing survey data, particularly in the context of evaluating online training and understanding response patterns. Her work investigates the performance of different statistical techniques, such as nonparametric person-fit statistics, under various assumptions about how individuals respond to survey items. Keiffer has examined how aberrant responding, or unusual response patterns, can affect model-fit statistics, which are used to assess the quality of data. She has also contributed to the development of tools for online training evaluation and explored demographic comparisons related to data quality in web-based surveys. Keiffer collaborates with researchers Ronna C. Turner, Wen‐Juo Lo, and Jennifer Reimers at the University of Arkansas at Fayetteville, with whom she has co-authored multiple publications.
Metrics
- h-index: 3
- Publications: 12
- Citations: 45
Selected Publications
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Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models (2023)
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Customizable Tool for Online Training Evaluation (2023)
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The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes (2023)
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Demographic comparisons on data quality measures in web-based surveys (2022)
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The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes (2022)
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Impact of unbalanced DIF item proportions on group-specific DIF identification (2018)
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Observing Inquiry-Based Learning Environments Using the Scholastic Inquiry Observation Instrument (2017)
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Customizable Tool for Online Training Evaluation (2016)
Collaboration Network
Top Collaborators
- Demographic comparisons on data quality measures in web-based surveys
- Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- Demographic comparisons on data quality measures in web-based surveys
- Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes
- Demographic comparisons on data quality measures in web-based surveys
- Demographic comparisons on data quality measures in web-based surveys
- Demographic comparisons on data quality measures in web-based surveys
- Customizable Tool for Online Training Evaluation
- Customizable Tool for Online Training Evaluation
- Customizable Tool for Online Training Evaluation
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