Dataset: From Legacy-Making to the Development of the Global Emotional Comfort Index
Description
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.
Files
Steps to reproduce
To replicate the findings of this study, please follow these steps: 1. Preliminary Step: • Decompress the two main folders: Qualitative Analysis and Statistical Analysis. 2. Qualitative Analysis Phase: • Inside the Qualitative Analysis folder, you will find two sub-folders containing the raw data for two scientific evidence datasets (in .xlsx format). • These datasets were used for the syntactic content analysis. The complete coding and analysis processes are stored in the two corresponding .atlasti project files. 3. Statistical Analysis Phase: • Inside the Statistical Analysis folder, there are three specific sub-folders: A. Folder 1 (Jamovi_Psychometrics): Contains the psychometric tests performed using the Rj+ module in Jamovi. It includes an Excel file (Means.xlsx) with the results and three Jamovi files (SV_R1.omv, SV_R2.omv, and TC.omv) containing the full statistical output for the visual and clinical validation rounds. B. Folder 2 (Expert Characterisation): Contains the descriptive statistical analysis of the expert panels. It includes Experts_Descriptives.xlsx and two Jamovi files: StatisticalExpertsTC.omv (Theoretical-Clinical experts) and StatisticalExpertsVS.omv (Visual-Semiotic experts). C. Folder 3 (Raw Data): Contains the raw scores from the Delphi validation rounds in three Excel files: TC_Delphi1.xlsx, VS_Delphi1.xlsx, and VS_Delphi2.xlsx. 4. Data Synthesis: By reviewing the Jamovi files, researchers can verify the I-CVI, Aiken’s V, and Modified Kappa values reported in the manuscript, confirming the high level of agreement (I-CVI > 0.90) for both the theoretician and visual components of the GECI.