Zobrazeno 1 - 10 of 34 pro vyhledávání: '"Elke Veirman"'
1
Akademický článek
The effect of psychological factors on pain outcomes: lessons learned for the next generation of research
Autor: Geert Crombez, Elke Veirman, Dimitri Van Ryckeghem, Whitney Scott, Annick De Paepe
Publikováno v: PAIN Reports, Vol 8, Iss 6, p e1112 (2023)
Abstract. Big data and machine learning techniques offer opportunities to investigate the effects of psychological factors on pain outcomes. Nevertheless, these advances can only deliver when the quality of the data is high and the underpinning causa
Externí odkaz: https://doaj.org/article/a5f00479f48842498d4c6780f55e1d2d
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2
Akademický článek
Assessing Emotional Intelligence Abilities, Acquiescent and Extreme Responding in Situational Judgment Tests Using Principal Component Metrics
Autor: Johnny R. J. Fontaine, Eva K. Sekwena, Elke Veirman, Katja Schlegel, Carolyn MacCann, Richard D. Roberts, Klaus R. Scherer
Publikováno v: Frontiers in Psychology, Vol 13 (2022)
Principal Component Metrics is a novel theoretically-based and data-driven methodology that enables the evaluation of the internal structure at item level of maximum emotional intelligence tests. This method disentangles interindividual differences i
Externí odkaz: https://doaj.org/article/40a52bb3d5e943c4a3fff306e589d9ed
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3
Akademický článek
When, why, and how do People Deviate from Physical Distancing Measures During the COVID-19 Pandemic: A Mixed-Methods Study
Autor: Maité Van Alboom, Fleur Baert, Aline Wauters, Melanie Beeckman, Sarah Maes, Ama Kissi, Elke Veirman, Dimitri M. L. Van Ryckeghem, Annick De Paepe, Louise Poppe
Publikováno v: Psychologica Belgica, Vol 61, Iss 1 (2021)
To limit the spread of COVID-19, many countries, including Belgium, have installed physical distancing measures. Yet, adherence to these newly installed behavioral measures has been described as challenging and effortful. Based on the Health Action P
Externí odkaz: https://doaj.org/article/0eefb8485a0e4af8b96666c2722e5b08
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4
Akademický článek
What do alexithymia items measure? A discriminant content validity study of the Toronto-alexithymia-scale–20
Autor: Elke Veirman, Dimitri M.L. Van Ryckeghem, Gregory Verleysen, Annick L. De Paepe, Geert Crombez
Publikováno v: PeerJ, Vol 9, p e11639 (2021)
Background Questions have been raised about whether items of alexithymia scales assess the construct alexithymia and its key features, and no other related constructs. This study assessed the (discriminant) content validity of the most widely used al
Externí odkaz: https://doaj.org/article/c70142fb70c6429890bc2bce4ade6db2
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5
Akademický článek
Let’s talk about pain catastrophizing measures: an item content analysis
Autor: Geert Crombez, Annick L. De Paepe, Elke Veirman, Christopher Eccleston, Gregory Verleysen, Dimitri M.L. Van Ryckeghem
Publikováno v: PeerJ, Vol 8, p e8643 (2020)
Background Concerns have been raised about whether self-report measures of pain catastrophizing reflect the construct as defined in the cognitive-behavioral literature. We investigated the content of these self-report measures; that is, whether items
Externí odkaz: https://doaj.org/article/7aece964eac24780a83e0908926cd773
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6
Akademický článek
Multidimensional screening for predicting pain problems in adults: a systematic review of screening tools and validation studies
Autor: Elke Veirman, Dimitri M. L. Van Ryckeghem, Annick De Paepe, Olivia J. Kirtley, Geert Crombez
Publikováno v: PAIN Reports, Vol 4, Iss 5, p e775 (2019)
Abstract. Screening tools allowing to predict poor pain outcomes are widely used. Often these screening tools contain psychosocial risk factors. This review (1) identifies multidimensional screening tools that include psychosocial risk factors for th
Externí odkaz: https://doaj.org/article/f0640ec935a1487a9e9b1b43ab12ddf0
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8
When, why, and how do People Deviate from Physical Distancing Measures During the COVID-19 Pandemic: A Mixed-Methods Study
Autor: Melanie Beeckman, Annick De Paepe, Louise Poppe, Elke Veirman, Aline Wauters, Fleur Baert, Ama Kissi, Maité Van Alboom, Dimitri M.L. Van Ryckeghem, Sarah Maes
Publikováno v: Psychologica Belgica, 61(1), 262-273. Societe Belge de Psychologie
PSYCHOLOGICA BELGICA
Psychologica Belgica
Psychologica Belgica; Vol 61, No 1 (2021); 262–273
Psychologica Belgica, Vol 61, Iss 1 (2021)
Introduction: To limit the spread of COVID-19, many countries, including Belgium, have installed physical distancing measures. Yet, adherence to these newly installed behavioral measures has been described as challenging and effortful. Based on the H
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4482feea8b08974f402d8c7c9b73c24b
https://doi.org/10.5334/pb.1089
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9
Adherence to the Physical Distancing Measures during the COVID‐19 Pandemic: A HAPA‐Based Perspective
Autor: Sarah Maes, Fleur Baert, Dimitri M.L. Van Ryckeghem, Annick De Paepe, Elke Veirman, Aline Wauters, Louise Poppe, Maité Van Alboom, Melanie Beeckman, Ama Kissi
Publikováno v: Applied Psychology: Health and Well-Being
Applied Psychology-Health and Well Being, 12(4), 1224-1243. Wiley-Blackwell
Background: The COVID‐19 pandemic requires massive and rapid behavior change. The Health Action Process Approach (HAPA) describes personal determinants that play a key role in behavior change. This study investigated whether these determinants are
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3133751cb2273fc731de46ae05ada351
https://doi.org/10.1111/aphw.12242
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10
Assessing Emotional Intelligence Abilities, Acquiescent and Extreme Responding in Situational Judgment Tests Using Principal Component Metrics
Autor: Johnny R. J. Fontaine, Eva K. Sekwena, Elke Veirman, Katja Schlegel, Carolyn MacCann, Richard D. Roberts, Klaus R. Scherer
Publikováno v: FRONTIERS IN PSYCHOLOGY
Fontaine, Johnny R J; Sekwena, Eva K; Veirman, Elke; Schlegel, Katja; MacCann, Carolyn; Roberts, Richard D; Scherer, Klaus R (2022). Assessing Emotional Intelligence Abilities, Acquiescent and Extreme Responding in Situational Judgment Tests Using Principal Component Metrics. Frontiers in psychology, 13, p. 813540. Frontiers Research Foundation 10.3389/fpsyg.2022.813540
Principal Component Metrics is a novel theoretically-based and data-driven methodology that enables the evaluation of the internal structure at item level of maximum emotional intelligence tests. This method disentangles interindividual differences i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcc320a683c5136a9b7987d2fb1c71a8
https://pubmed.ncbi.nlm.nih.gov/35558711
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