Abstract
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 102558 |
| Fachzeitschrift | Journal of Environmental Psychology |
| Jahrgang | 102 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - März 2025 |
Fördermittel
This project received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 666773. Data collection in California was supported by the Center for Conservation Biology, Stanford University. Data collection in Canada was supported by the Faculty of Forestry, University of British Columbia. Data collection in Finland was supported by the Natural Resources Institute Finland (Luke). Data collection in Australia was supported by Griffith University and the University of the Sunshine Coast. Data collection in Portugal was supported by ISCTE—University Institute of Lisbon. Data collection in Ireland was supported by the Environmental Protection Agency, Ireland. Data collection in Hong Kong was supported by an internal University of Exeter—Chinese University of Hong Kong international collaboration fund. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. Ethical approval for the methods, content and data management of the anonymised survey was granted by the University of Exeter's College of Medicine and Health Research Ethics Committee (Ref: Aug16/B/099). Full methodological details of the BIS are available on the Open Science Framework website: https://doi.org/10.17605/OSF.IO/7AZU2.Data analysis was conducted in R version 4.3.2. (R Core Team, 2023), using the following packages: correlation (v. 0.8.3; Makowski et al., 2022), lavaan (v. 0.6.17; Rosseel, 2012), psych (v. 2.4.1; Revelle, 2024), tidySEM (v. 0.2.6; van Lissa, 2023), and tidyverse (2.0.0; Wickham et al., 2019). Preliminary analyses compared open-water and open-air pool swimming in terms of well-being outcomes using t-tests, and dummy coded covariates using chi-squared tests (χ2). Regression analyses predicting the main outcome variables (positive visit subjective well-being, and negative subjective well-being) as a function of swimming locations were conducted in two steps; first with swimming location (open-air vs. open-water) and all covariates included and second with the three SDT variables also added. If any relationship between swimming location and well-being was reduced when these three variables were added, and one or more SDT variables were themselves significant predictors of well-being, it could be indicative of potential mediation and support conducting our main structural equation modelling (SEM) approach. The outputs for these regressions are presented in Supplementary Materials Table S2.This project received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 666773. Data collection in California was supported by the Center for Conservation Biology, Stanford University. Data collection in Canada was supported by the Faculty of Forestry, University of British Columbia. Data collection in Finland was supported by the Natural Resources Institute Finland (Luke). Data collection in Australia was supported by Griffith University and the University of the Sunshine Coast. Data collection in Portugal was supported by ISCTE—University Institute of Lisbon. Data collection in Ireland was supported by the Environmental Protection Agency, Ireland. Data collection in Hong Kong was supported by an internal University of Exeter—Chinese University of Hong Kong international collaboration fund. For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission.
ÖFOS 2012
- 501001 Allgemeine Psychologie
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