Jennifer Reimers Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2023 Last refreshed 2026-03-28

unknown

2 h-index 6 pubs 29 cited

Biography and Research Information

OverviewAI-generated summary

Jennifer Reimers' research focuses on the quality of data in web-based surveys and the performance of statistical models used to detect aberrant responding. Her recent publications investigate how demographic factors influence data quality and the effectiveness of nonparametric person-fit statistics under different response models, including unfolding and dominance response models. She has also examined the impact of aberrant responding on model-fit assumptions in various underlying response processes. Reimers has collaborated with researchers at the University of Arkansas at Fayetteville, including Ronna C. Turner, Wen-Juo Lo, and Elizabeth A. Keiffer, with whom she shares multiple publications. Her scholarly work, while early in its development with an h-index of 2 and 28 total citations across 6 publications, addresses important methodological considerations in survey research and psychometrics.

Metrics

  • h-index: 2
  • Publications: 6
  • Citations: 29

Selected Publications

  • Performance of Nonparametric Person-Fit Statistics with Unfolding versus Dominance Response Models (2023)
    2 citations DOI OpenAlex
  • The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes (2023)
    1 citation DOI OpenAlex
  • Demographic comparisons on data quality measures in web-based surveys (2022)
    5 citations DOI OpenAlex
  • The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes (2022)

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Collaboration Network

4 Collaborators 3 Institutions 2 Countries

Top Collaborators

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