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ETHNOS_APP

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Delane Linkiewich

Dados Biográficos

ID6767939
NOMEDelane Linkiewich
PRENOMESDelane
SOBRENOMELinkiewich
ASSINATURALINKIEWICH D
AFILIAÇÕESUniversity of Guelph
ORCID0000-0002-7678-699X
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2026
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • Detecting and Mitigating Fraudulent Participation

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

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  • Detecting and Mitigating Fraudulent Participation

    Open Access•Michelle Lamont, Ligyana Korki de Candido et al.•ARTICLE•Journal of Mixed Methods Research•2026•Referências: 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 • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae