遇见数据集

Dataset for "Suitable Public Environment for Women's Physical Activities: A Qualitative Analysis of the Lived Experiences of Iranian Women"

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Zenodo2025-10-20 更新2026-05-26 收录
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Title: Dataset for "Suitable Public Environment for Women’s Physical Activities: A Qualitative Analysis of the Lived Experiences of Iranian Women" 1. DescriptionThis dataset accompanies the qualitative study titled “Suitable Public Environment for Women’s Physical Activities: A Qualitative Analysis of the Lived Experiences of Iranian Women.”All data included here are anonymized, in accordance with ethical requirements and participant confidentiality. 2. Files Included2.1. Appendix A – Anonymized Quotes (PDF): Contains selected anonymized quotations from participant interviews that could not be included in the main manuscript due to journal word limits. Each quote is referenced in-text (e.g., Participant No. 2: see Appendix A).2.2. Appendix B – Extra Figures and Tables (PDF): Includes block maps, code clouds for each of the six conceptual blocks, an overall project code cloud, and the final diagram illustrating interrelations among subcomponents derived from the Code Relations Matrix. Figures are presented for the 2023 phase, 2025 phase, and the merged dataset.2.3. Appendix C – Codebook (PDF): Final version of the qualitative codebook, including themes and subthemes.2.4. Appendix D – Code Matrix Browser (Excel): Matrix of coded segments across cases and categories, showing frequency of thematic occurrences.2.5. Appendix E – Code Relations Browser (Excel): Matrix indicating relationships and co-occurrences between main codes and subcodes, forming the foundation for the relational diagrams. 3. Data Type and Access3.1. Data type: Qualitative (thematic coding, visual representations, and analytical matrices).3.2. Sensitive data: Full interview transcripts are not included to protect participant anonymity.3.3. Access level: Restricted access. Data files can be accessed upon reasonable request from the corresponding author. 4. Software and Tools Used- MAXQDA 2022, MAXQDA 2024 5. Ethical Statement- All participants provided informed consent prior to data collection. Identifiable information has been removed. No individual data, recordings, or identifiable transcripts are included in this dataset. 6. ContactFor access requests or further information, please contact:a.montazerrri@gmail.com

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Zenodo
创建时间:
2025-10-20
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