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.

Highlights

  • This article is part of a series on Primary Care Research and focuses on how to capture, clean and analyse quantitative data, as well as how to present your results

  • The selection of statistical approaches varies depending on the type of data and you should describe the different types you will be using in the data analysis section of your research proposal

  • Results can be presented in a table in your research report (Table 5) where the frequencies and percentages are compared and the p-value given to indicate whether there is any statistical difference

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Summary

Introduction

This article is part of a series on Primary Care Research and focuses on how to capture, clean and analyse quantitative data, as well as how to present your results. Continuous data that are normally distributed can be analysed as a mean with a range, standard deviation or confidence interval. Data can be presented in text if very simple, such as the mean age with a standard deviation, or in a table, or in a histogram (normally distributed data) or a box and whisker plot (if not normally distributed). This graph is produced by the analytical software and does http://www.phcfm.org.

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