publication . Article . Preprint . Other literature type . 2020

Controlling the false discovery rate: a practical and powerful approach to multiple testing

Yang, Jingwen; Wu, Xue; Sasaki, Kyoshiro; Yamada, Yuki;
Open Access English
  • Published: 02 Nov 2020 Journal: PeerJ, volume 8 (eissn: 2167-8359, Copyright policy)
  • Publisher: PeerJ Inc.
<jats:p>When people are confronted with health proposals during the coronavirus disease 2019 (COVID-19) pandemic, it has been suggested that fear of COVID-19 can serve protective functions and ensure public health compliance. However, health proposal repetition and its perceived efficacy also influence the behavior intention toward the proposal, which has not yet been confirmed in the COVID-19 context. The present study aims to examine whether the extended parallel process model (EPPM) can be generalized to a naturalistic context like the COVID-19 pandemic. Additionally, we will explore how repetition of a health proposal is involved with the EPPM. In this study...
free text keywords: Psychiatry and Psychology, Public Health, COVID-19, Health communication, Pandemic response, Hand hygiene, Infection prevention, Persuasiveness, Statistics and Probability, General Biochemistry, Genetics and Molecular Biology, General Neuroscience, General Agricultural and Biological Sciences, General Medicine, R, Per-comparison error rate, Holm–Bonferroni method, False discovery rate, Benjamini-Hochberg Procedure, Closed testing procedure, Multiple comparisons problem, Šidák correction, False coverage rate, Mathematics, Statistics, Risk behavior, medicine.medical_specialty, medicine, Pandemic, Extended parallel process model, Structural equation modeling, Coronavirus disease 2019 (COVID-19), Applied psychology, Psychology, Infection control
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