African Primary Care Research: Quantitative analysis and presentation of results
Bob Mash, Gboyega A. Ogunbanjo
TL;DR
This article guides students on analyzing and presenting primary care research data using statistics and clear visual formats.
Contribution
The article provides a structured approach to data analysis and presentation tailored for Master's students in primary care research.
Findings
The article outlines methods for capturing and analyzing continuous and categorical data.
It offers practical advice on using descriptive and inferential statistics for research reports.
The article emphasizes effective presentation of results through text, figures, and tables.
Abstract
This article is part of a series on Primary Care Research Methods. The article describes types of continuous and categorical data, how to capture data in a spreadsheet, how to use descriptive and inferential statistics and, finally, gives advice on how to present the results in text, figures and tables. The article intends to help Master's level students with writing the data analysis section of their research proposal and presenting their results in their final research report.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsPrimary Care and Health Outcomes · Chronic Disease Management Strategies · Diabetes Management and Education