Module 5: Data Analysis
Unit 1: Data analysis and interpretation
In this unit, we introduce the basics of qualitative and quantitative data analysis and interpretation. The purpose of data analysis is to organize, summarize and describe the data that has been collected and, second, to draw conclusions or findings. Large amounts of qualitative data can be reduced to key themes or concepts while quantitative data can be summarized statistically and used to test hypotheses or propositions. This unit is only a short introduction to a complex topic. You will need to continue your independent learning about data analysis.
Unit 2: Quality & Rigour
Rigour is the practice of doing research well, from designing your project, to collecting and analyzing data, to interpreting your findings. It deals with the things you do so you can trust your work and know that your research findings are of good quality. But quality is a trickier concept when it comes to community-based research. We will discuss strategies to help you do rigorous, high-quality community-based research.
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