Dataset: From Legacy-Making to the Development of the Global Emotional Comfort Index

This dataset supports the development and validation of the Global Emotional Comfort Index (GECI) within oncology nursing. The data is structured following a methodological development design (DEXPLOS):

1. Qualitative and Evidence Analysis (ATLAS.ti): Contains the project file where the syntactic content analysis was performed. This analysis was specifically used to contrast the empirical indicators derived from the nursing narrative (analysed via Fawcett’s CTE system) against existing scientific literature. This process ensured that the GECI is grounded in both clinical practice and global evidence.

2. Statistical Validation Analysis (Jamovi): Includes the databases (.omv and .csv formats) containing the evaluations from two expert panels: (1) Theoretical-Clinical Panel (n=12): Validation of the verbal items of the index, and (2) Visual-Semiotic Panel (n=9): Validation of the AI-generated facial expressions. Includes calculations for I-CVI, Aiken’s V, and Modified Kappa, demonstrating the psychometric robustness of the instrument.

本数据集用于支持肿瘤护理领域全球情绪舒适指数（Global Emotional Comfort Index，GECI）的开发与验证。数据遵循方法学开发设计（DEXPLOS）进行结构化处理：
1. 质性与证据分析（ATLAS.ti）：包含完成句法内容分析的项目文件。该分析专门用于将通过福西特CTE系统（Fawcett’s CTE system）对护理叙事开展分析所推导的经验指标，与现有科学文献进行对照校验，以此确保GECI同时立足于临床实践与全球循证依据。
2. 统计验证分析（Jamovi）：包含两类专家评估小组的评价数据库（格式为.omv与.csv）：(1) 理论-临床专家小组（n=12）：用于验证该指数的文字条目；(2) 视觉-符号学专家小组（n=9）：用于验证人工智能（AI）生成的面部表情。数据库包含内容效度指数（I-CVI）、艾肯V系数（Aiken’s V）与修正卡帕值（Modified Kappa）的计算结果，证明了该测评工具的心理测量学稳健性。