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Yan S Zhu

Datos Biográficos

ID326061
NOMBREYan S Zhu
NOMBRESYan S
APELLIDOZhu
FIRMAZHU Y S
AFILIACIONESRutgers, the State University of New Jersey
ORCID0009-0006-9002-8593
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Moving Beyond Red Flags for Imposter Participants

    Open Access•Yan S Zhu, Abigail Wilpers et al.•ARTICLE•Qualitative Health Research•2025•Referencias: 18

    Health research guides health practice and policy; therefore, data integrity is of the utmost importance. The use of incentives to compensate respondents for their discomfort and inconvenience in sharing their lived experiences has unfortunately drawn imposter participants, posing significant threats to the trustworthiness and transferability of qualitative data. A growing literature provides "red flags" and methods for identifying imposters, suc…

Sin obras prominentes en esta página.

  • Moving Beyond Red Flags for Imposter Participants

    Open Access•Yan S Zhu, Abigail Wilpers et al.•ARTICLE•Qualitative Health Research•2025•Referencias: 18

    Health research guides health practice and policy; therefore, data integrity is of the utmost importance. The use of incentives to compensate respondents for their discomfort and inconvenience in sharing their lived experiences has unfortunately drawn imposter participants, posing significant threats to the trustworthiness and transferability of qualitative data. A growing literature provides "red flags" and methods for identifying imposters, suc…

Applied Psychology (1 obras) · Computer Science (1 obras) · FLAGS register (1 obras) · HIV/AIDS Research and Interventions (1 obras) · Incentive (1 obras) · Internet privacy (1 obras) · Interview (1 obras) · Medical education (1 obras) · Medicine (1 obras) · Narrative (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae