Summary of Study Session 12
In Study Session 12, you have learned that:
- Collecting data for a community survey or other purpose needs to be carefully planned.
- The main methods of data collection are observation, interviews, questionnaires and focus group discussions. Each of these methods has different advantages and limitations.
- Data may be quantitative or qualitative. Quantitative data is appropriate if you want to quantify a health problem or to quantify background information about your community. Qualitative data is appropriate if you want to find out more detail about a particular community health problem.
- While collecting data it is important to avoid bias. Questionnaires used in a baseline community survey should be used in a standard way to ensure that the data are reliable.
- Data must be checked for errors and completeness, during and after collection.
- Data analysis means describing and summarising the findings so they can be presented in a way that is understandable and useful. It should enable you to compare one set of data with another in a meaningful way.
- Quantitative data can be summarised and presented using methods such as frequency, mean, median, mode, proportion and percentages.
- Consideration should be given to ethical issues as data is collected.