ORCID Profile
0000-0002-0808-5024
Current Organisation
Tilburg University
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Publisher: Elsevier BV
Date: 2022
Publisher: Springer Science and Business Media LLC
Date: 23-09-2023
Publisher: Informa UK Limited
Date: 26-01-2022
DOI: 10.1080/10410236.2021.2018179
Abstract: Understanding the determinants of COVID-19 vaccine uptake is important to inform policy decisions and plan vaccination c aigns. The aims of this research were to: (1) explore the in idual- and country-level determinants of intentions to be vaccinated against SARS-CoV-2, and (2) examine worldwide variation in vaccination intentions. This cross-sectional online survey was conducted during the first wave of the pandemic, involving 6697 respondents across 20 countries. Results showed that 72.9% of participants reported positive intentions to be vaccinated against COVID-19, whereas 16.8% were undecided, and 10.3% reported they would not be vaccinated. At the in idual level, prosociality was a significant positive predictor of vaccination intentions, whereas generic beliefs in conspiracy theories and religiosity were negative predictors. Country-level determinants, including cultural dimensions of in idualism/collectivism and power distance, were not significant predictors of vaccination intentions. Altogether, this study identifies in idual-level predictors that are common across multiple countries, provides further evidence on the importance of combating conspiracy theories, involving religious institutions in vaccination c aigns, and stimulating prosocial motives to encourage vaccine uptake.
Publisher: Center for Open Science
Date: 20-10-2020
Abstract: The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in psychological research. We discuss six types of applications: Bayesian evaluation of point null, interval, and informative hypotheses, Bayesian evidence synthesis, Bayesian variable selection and model averaging, and Bayesian evaluation of cognitive models. We elaborate what each application entails, give illustrative ex les, and provide an overview of key references and software with links to other applications. The paper is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines.
Publisher: American Psychological Association (APA)
Date: 06-2023
DOI: 10.1037/MET0000454
Abstract: The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in psychological research. We discuss six types of applications: Bayesian evaluation of point null, interval, and informative hypotheses, Bayesian evidence synthesis, Bayesian variable selection and model averaging, and Bayesian evaluation of cognitive models. We elaborate what each application entails, give illustrative ex les, and provide an overview of key references and software with links to other applications. The article is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
No related grants have been discovered for Caspar Van Lissa.