M
Mark Shevlin
Researcher at Ulster University
Publications - 474
Citations - 18791
Mark Shevlin is an academic researcher from Ulster University. The author has contributed to research in topics: Population & Mental health. The author has an hindex of 59, co-authored 417 publications receiving 13957 citations. Previous affiliations of Mark Shevlin include Aarhus University & Trinity College, Dublin.
Papers
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Applying regression & correlation : a guide for students and researchers
Jeremy N. V. Miles,Mark Shevlin +1 more
TL;DR: In this article, the authors present a model with regression and correlation for nonlinear and logistic regression analysis, using multilevel modelling and structural equation modelling, respectively.
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Psychological characteristics associated with COVID-19 vaccine hesitancy and resistance in Ireland and the United Kingdom.
Jamie Murphy,Frédérique Vallières,Richard P. Bentall,Mark Shevlin,Orla McBride,Todd K. Hartman,Ryan McKay,Kate M. Bennett,Liam Mason,Jilly Gibson-Miller,Liat Levita,Anton P. Martinez,Thomas V. A. Stocks,Thanos Karatzias,Philip Hyland +14 more
TL;DR: This article found that those resistant to a COVID-19 vaccine were less likely to obtain information about the pandemic from traditional and authoritative sources and had similar levels of mistrust in these sources compared to vaccine accepting respondents.
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Anxiety, depression, traumatic stress and COVID-19-related anxiety in the UK general population during the COVID-19 pandemic
Mark Shevlin,Orla McBride,Jamie Murphy,Jilly Gibson Miller,Todd K. Hartman,Liat Levita,Liam Mason,Anton P. Martinez,Ryan McKay,Thomas V. A. Stocks,Kate M. Bennett,Philip Hyland,Thanos Karatzias,Richard P. Bentall +13 more
TL;DR: This study showed a modest increase in the prevalence of mental health problems in the early stages of the pandemic, and these problems were predicted by several specific COVID-related variables.
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Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis
Mark Shevlin,Jeremy N. V. Miles +1 more
TL;DR: Joreskog et al. as discussed by the authors examined the performance of the goodness-of-fit index under conditions of varying sample size, model specification and magnitude of factor loadings, and concluded that these three factors influenced GFI independently and jointly in terms of interactions.
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The International Trauma Questionnaire: development of a self‐report measure of ICD‐11 PTSD and complex PTSD
Marylene Cloitre,Marylene Cloitre,Mark Shevlin,Chris R. Brewin,Jonathan Ian Bisson,Neil P. Roberts,Neil P. Roberts,Andreas Maercker,Thanos Karatzias,Thanos Karatzias,Philip Hyland,Philip Hyland +11 more
TL;DR: The purpose of this study was to finalize the development of the International Trauma Questionnaire (ITQ), a self‐report diagnostic measure of post‐traumatic stress disorder (PTSD) and complex PTSD (CPTSD), as defined in the 11th version of theInternational Classification of Diseases (ICD‐11).