Publication: Data research: Levels of sustainability awareness in Spanish university students of Nautical activities as future managers of sports and active tourism programmes

Date
2023-02-02
Authors
Borrego Balsalobre, Francisco José
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Publisher
MDPI
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DOI
https://doi.org/10.3390/su15032733
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info:eu-repo/semantics/dataset
Description
Abstract
1.Description of the methodology used to generate the dataset.
The data were analysed using non-parametric statistical tests because they did not conform to a normal distribution. For this purpose, the Kolmogorov–Smirnov normality test was used. A bivariate correlation was performed using Spearman’s Rho test between the different constructs and factors that made up the SCQ-S tool in the sample under study. Likewise, using the chi-square test, we attempted to determine the relationship between the different nominal categorical variables added to the tool. Independent samples mean analysis was also performed using the Mann–Whitney U-test when the number of groups was 2 and the Kruskal–Wallis test when the number of groups was greater than 2. In addition, exploratory factor analysis was performed using principal axis factoring and Vari-max rotation based on a fixed number of 9 factors to be extracted, determined by a previous thorough literature review. The adequacy of the sample and the reliability of the factor models were assessed using Kaiser–Meyer–Olkin and Cronbach’s alpha. Descriptive data on means and standard deviations of the numerical variables included in the study were also obtained.
2. Software or tools needed to interpret the data.
[Include the version of the software. If specific software with restricted access is required, explain how to obtain it. Assess whether it is possible to change the dataset to an open format (recommended)].
Data analysis was carried out with Statistical Package for Social Science® software, version 28 (SPSS®, Chicago, IL, USA).
3. Procedures followed for data quality assurance.
The level of statistical significance was p < 0.05. For those cases where significance was obtained, effect size and statistical power were analysed using G*Power 3.1.9.7.
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SCQ-S , Environment , Attitude , Behaviour , Knowledge , Physical activity , College students , Leisure
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