Data Analysis and Reporting

The design of your study, the research questions you’ve posed, and types of data you’ve collected (e.g., quantitative, qualitative) are important considerations in determining the data analysis and reporting choices you make, in order to maximize the impact of your work.

Regardless of the types of data you have, your data analysis should be:

  1. Planned to respond directly to or inform your research or evaluation questions; and,
  2. Appropriate for the quantity and quality of data you collected.

An important step in data analysis is to plan for synthesis of different types or sources of data so that your findings are coherent and inclusive of all of your data collection efforts.

Following analyses, you should focus on interpreting and representing your findings with your intended audience in mind. Clear, logical, and concise reporting is appreciated by all audiences, so consider following the “less is more” rule when sharing findings from your study.

Tools for Data Analysis and Reporting

There are a plethora of resources and tools that can assist you in analysing data and reporting findings from your study.