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Expert Assessment and Prioritization of Cancer Prevention Criteria for Project Planning (Lawshe 4-Point Scale)

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NIAID Data Ecosystem2026-05-02 收录
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This dataset presents the results of an expert-based evaluation aimed at prioritizing cancer prevention criteria to support project planning and decision-making. A total of 26 experts in cancer prevention, affiliated with a Brazilian public health institution, assessed a predefined set of criteria using a four-point version of the Lawshe method. To define the final prioritization of criteria, the BCV method (Balanceamento com Critério de Validação) was applied, as proposed in the preprint by Costa (2024). This method supports balanced decision-making by incorporating both the relevance and the consistency of expert assessments. The dataset includes expert responses, BCV-calculated prioritization scores, and an overall ranking of criteria. In addition, an R script is provided for reproducing the data processing and generating graphical visualizations of the results. > Note: Only the dataset and the R script are being made available; no interpretation or discussion of the results is included in this release. Supplementary Material: R Script: For data processing and result visualization Potential Uses: Evidence-based prioritization of cancer prevention strategies Public health project planning Methodological studies on expert consensus and multi-criteria analysis Reference: Gomes Costa, H., Shimoda, E., Fabiano da Serra Costa, J., Shimoya, A., & Pereira Eufrazio, E. (2024). Discovering the critical number of respondents to validate an item in a questionnaire: The Binomial Cut-level Content Validity proposal. arXiv e-prints, arXiv-2410.
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2025-05-21
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