The ability to efficiently manage and analyse data is a critical skill for researchers across disciplines. At CHaRT-SL, our training on Statistical Software for Qualitative and Quantitative Research equips participants with practical experience in using advanced software packages to handle both qualitative and quantitative data. This training is designed to help researchers, analysts, and public health practitioners harness the power of modern tools for insightful analysis and evidence-based decision-making.
Key software packages covered in the training include:
Widely used in health and social sciences, SPSS (Statistical Package for the Social Sciences) is ideal for conducting complex statistical analyses, including descriptive statistics, regressions, and advanced data manipulations.
Widely used in health and social sciences, SPSS (Statistical Package for the Social Sciences) is ideal for conducting complex statistical analyses, including descriptive statistics, regressions, and advanced data manipulations.
An open-source software known for its flexibility and extensive libraries, R is used for statistical computing and data visualization. It is popular among researchers for handling large datasets and performing custom statistical analyses.
Developed by the CDC, Epi Info is a tool specifically designed for epidemiologists. It is useful for creating surveys, analysing health data, and visualising results with GIS integration.
Developed by the CDC, Epi Info is a tool specifically designed for epidemiologists. It is useful for creating surveys, analysing health data, and visualising results with GIS integration.
A powerful tool for data management, statistical analysis, and graphical representation, STATA is commonly used for quantitative data analysis, particularly in econometrics, epidemiology, and public health.
Specialised in qualitative data analysis, NVivo supports the coding and analysis of text-based data, allowing researchers to organise, code, and analyse unstructured information, such as interview transcripts or survey responses.
This training covers the fundamentals of each software package, with hands-on exercises that enable participants to apply these tools to their own research projects. Participants will learn to perform complex data manipulations, analyse results, and create visualisations that communicate their findings effectively.
Grounded in solid research and a deep commitment to the well-being of all, we invite partners, funders and researchers to join our mission.
Centre for Health Research and Training, UNIMTECH, Freetown, Sierra Leone. Advancing health, epidemiological and biomedical research for a healthier nation.
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