Evaluation is important through the intervention process. Effective evaluation strategies can inform your decision-making about the intervention (formative evaluation), or measure the outcomes at the end of the intervention (summative evaluation). Typically, evaluation strategies have three parts: (1) the research questions or hypotheses that guide the process (addressed in the previous modules), (2) data collection, and (3) data analysis. Approaches to data collection and analysis are covered below.
You will need to consider what your evaluation strategy will look like, which requires make decisions about quantitative and qualitative data collection methods. The Designing Your Evaluation Strategy form can help you think through the types of survey and/or interview questions that you might want to ask. Consider how your evaluation tools will help you respond to your research questions and/or hypotheses. Make sure to share them with your team to get feedback and discuss how you can revise them to get the information that you need in order to make the change that you want possible.
As you think through your responses to these questions to determine your data analysis approach, you can review this example of a data analysis output related to the data sets presented above.
Review Data Set 1 and Data Set 2. Then, consider how you would choose to analyze them. In data analysis you can look at quantitative data (numbers), qualitative data (words), or a mix of the two. Both can be important to increasing your understanding about how to make your intervention successful, or determine if it contributed to changing behaviors. To make a decision on the most effective approach think about:
What kind of data do I have to work with?
What am I trying to find out?
What categories can I sort the data into?
How will I use the data?
How do I want to present or communicate the data?
What statistical tests or qualitative analysis approaches could be helpful?