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Delane Linkiewich

Datos Biográficos

ID6767939
NOMBREDelane Linkiewich
NOMBRESDelane
APELLIDOLinkiewich
FIRMALINKIEWICH D
AFILIACIONESUniversity of Guelph
ORCID0000-0002-7678-699X
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2026
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • Detecting and Mitigating Fraudulent Participation

    Open Access•Michelle Lamont, Ligyana Korki de Candido et al.•ARTICLE•Journal of Mixed Methods Research•2026•Referencias: 5

    A surge in social media research recruitment has led to increased fraudulent participation, impacting studies such as our sequential mixed methods research (MMR) study on peer loneliness among adolescents with chronic pain during COVID-19. The purpose of this paper is to describe the challenges and subsequent strategies implemented to prevent and identify fraudulent participants during a MMR study that used online data collection methods. The res…

Sin obras prominentes en esta página.

  • Detecting and Mitigating Fraudulent Participation

    Open Access•Michelle Lamont, Ligyana Korki de Candido et al.•ARTICLE•Journal of Mixed Methods Research•2026•Referencias: 5

    A surge in social media research recruitment has led to increased fraudulent participation, impacting studies such as our sequential mixed methods research (MMR) study on peer loneliness among adolescents with chronic pain during COVID-19. The purpose of this paper is to describe the challenges and subsequent strategies implemented to prevent and identify fraudulent participants during a MMR study that used online data collection methods. The res…

Data collection (1 obras) · Loneliness (1 obras) · Mental Health via Writing (1 obras) · Mobile Crowdsensing and Crowdsourcing (1 obras) · Multimethodology (1 obras) · Social media (1 obras) · Social Media in Health Education (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