The data was analyzed using the SPSS statistical software (version 22.0; SPSS Inc., Chicago, IL, USA). Categorical variables were succinctly presented as counts and percentages, while continuous variables were summarized using means and standard deviations (SDs). The Chi-square test was applied to compare categorical data, and the ANOVA was employed for numerical data. To gauge the effect size and ascertain the robustness of each statistical analysis, Cramer’s V was calculated for the chi-squared test, and η² for the ANOVA. Post-hoc analysis was implemented to assess differences between multiple groups, and a two-tailed p-value < 0.05 was considered indicative of statistical significance.
Copyright and License information: The Author(s) ©2023 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this
article to respond.
Ask a
question
Post a Question
