Data is information that is collected in a systematic way or gathering accurate information, and carefully measuring and documenting it. Data should be collected before and after the program to show that the results are due to the program effects. The people responsible for the data will need to have training and skills on how to code and enter data into a database, as well as how to analyze and interpret the data.
What are the two types of data programs may decide to collect to strengthen their results?
- Quantitative data – usually involves numbers, like the diabetes outcomes and audit data.
- Qualitative data – usually involves words about how people feel or think.
How can you collect quantitative data?
- Ask questions to find out how much, how many and to what extent.
- Tally the results as simple frequencies, such as percents and/or the numbers such as attendance. These can be done without special techniques.
- If more sophisticated techniques to analyze the data are needed your diabetes program may need assistance.
What methods would be followed when asking Qualitative?
- Hold focus groups with participants. Focus groups are small meetings with specified questions to capture people’s feelings and thoughts about a special issue.
- Use storytelling approaches such as talking circles or oral history interviews.
- Conduct one-to-one in-depth interviews.
Will the Visual Planning Tool (or Road Map) help determine what data to collect, measure and document?
Yes, the Visual Planning Tool helps your program determine what data needs to be collected on the following:
- Products –direct result of what the program did and things that can be counted.
- Results - The changes occurred as a direct result of the programs’ activities.
- Impacts - The long term consequences of the program usually affect community, society or environment.
How do you know the data you collected make sense?
- People responsible for the data will need to have training and skills on how to code and enter data.
- Also, they need to know how to analyze and interpret the data.