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.
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The structure of the statistics anxiety rating scale: A confirmatory factor analysis using UK psychology students
TL;DR: This article examined the structure of the statistics anxiety rating scale and concluded that the original six factor model was the best explanation of the data and that all six subscales were intercorrelated and internally consistent.
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Developing a model of innovation implementation for UK SMEs: A path analysis and explanatory case analysis
TL;DR: The need for many SMEs to use innovation as a means of seeking competitive advantage where innovation is needed is highlighted in this article, where the authors discuss the challenges of large-scale changes in technology and the globalization of markets.
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An Assessment of the Construct Validity of the ICD-11 proposals for Complex Posttraumatic Stress Disorder
Philip Hyland,Mark Shevlin,Ask Elklit,Jamie Murphy,Frédérique Vallières,Donn W. Garvert,Marylene Cloitre +6 more
TL;DR: Results support the proposals of the ICD-11 that exposure to abuse during early development is associated with a greater likelihood of CPTSD than PTSD, and contribute to a growing body of empirical data supporting the construct validity ofCPTSD as a unique diagnostic entity.
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Testicular self-examination: a test of the health belief model and the theory of planned behaviour
TL;DR: Self-efficacy was the most important predictor of TSE behavioural intention across both models, and these findings contribute to the growing literature on the testing of multiple models in the health psychology domain.
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Confirmatory factor-analysis of the rosenberg self-esteem scale
TL;DR: In this article, a unidimensional confirmatory factor analytic model was tested and found consistent to the data, which is a widely used measure of global self-esteem; however, the uni-dimensional nature of the scale has been questioned.