In nursing, data analysis is essential because it enables more evidence-based decision-making, identifies trends in patient care, and improves overall healthcare outcomes. Researchers may validate hypotheses, assess treatments, and advance nursing knowledge through data analysis, all enhancing care practices. data analysis plays a pivotal role in transforming raw data into actionable insights, enabling nurses to base their clinical decisions on solid evidence rather than intuition alone.
In nursing, data analysis methods range from basic descriptive techniques to advanced predictive analytics, allowing researchers and practitioners to uncover insights across various levels of complexity. Descriptive and inferential analysis, path analysis (predictive studies), qualitative data analysis, factor analysis, and structural equation modeling analysis are some of the important techniques commonly employed in nursing data analysis. By selecting methods based on the research question or clinical issue at hand, nurses and nursing researchers can leverage data analysis to drive improvements in patient care, enhance operational efficiency, and contribute to the broader evidence base in nursing science.
The main thing that a researcher and data analyst needs is data availability. Open science can be defined as a set of principles and practices that aim to make scientific research from all fields accessible to everyone for the benefit of the scientific community and society as a whole. One of the current requirements is the creation of a Data Management Plan (DMP). A DMP should be considered a ‘living’ document - ideally created before or at the start of a research project, but updated when necessary as the project progresses.
In this regard, during this project, the researcher intends to learn analysis methods, and common and new data analysis software, teach new statistical methods to PhD and master's degree students, and design a repository for access to national psychometric studies in instruments in the field of nursing.
In nursing, data analysis is essential because it enables more evidence-based decision-making, identifies trends in patient care, and improves overall healthcare outcomes. Researchers may validate hypotheses, assess treatments, and advance nursing knowledge through data analysis, all of which enhance care practices. data analysis plays a pivotal role in transforming raw data into actionable insights, enabling nurses to base their clinical decisions on solid evidence rather than intuition alone. In nursing, data analysis methods range from basic descriptive techniques to advanced predictive analytics, allowing researchers and practitioners to uncover insights across various levels of complexity. Descriptive and inferential analysis, path analysis (predictive studies), qualitative data analysis, factor analysis, and structural equation modeling analysis are some of the important techniques commonly employed in nursing data analysis. . In this regard, during this project, the researcher intends to learn analysis methods, and common and new data analysis software, teach new statistical methods to PhD and master students, and design a repository for access to national psychometric studies in instruments in the nursing field.
to develop statistical analyze related to nursing research
Specific (based on BIPD EDITAL form):
1. Develop skills in statistical analysis of data from primary research in the area of health sciences, requiring the application of advanced descriptive, diagnostic, predictive and prescriptive techniques appropriate to the research objectives and data
2. Develop skills in critical analysis of the appropriateness and rigor of statistical processes applied in primary research, taking into account methodological reports and results published or presented in academic examinations
3. Develop consulting skills related to advanced statistical analysis of research data and the interpretation and presentation of results in scientific reports.
Designing short bilingual tutorial videos in statisticla topics at different levels based on micro learning method and uploading them on the YouTube channel of UICISA can prevent repeated workshops and give students the opportunity to improve thier knowlage and skills by using online, flexible and independent education.
to the best of our knowlege, the design of the data repository for psychometric studies will be the first in the nursing faculty, which can be a step in the easier access and introduction of the instruments used to students, professors and researchers in the field of nursing based on open scinece policies.
Não aplicável
2) Silveira, L. D., Sena, P. M. B., Ribeiro, N. C., Cortés, J. P., Melero, R., Fachin, J., ... & Enciso-Betancourt, A. M. (2023). Taxonomy of Open Science: revised and expanded. Encontros Bibli, 28, e91712.
15/05/2025
31/10/2027
Princípios da Ciência Aberta em Investigação em Enfermagem: Política e Implementação
Care Systems, Organization, Models, and Technology