Types of information

Quantitative Data

This is a numerical representation of reality. It is based primarily on data collection by means of tools and mechanisms such as tallying, surveys, or statistical analysis. It is very useful for understanding what happens.

Qualitative Data

This is an observation of reality that describes characteristics and factors that cannot be objectively compared to each other, something that can indeed be done with quantitative data. It allows deeper understanding of nuances in an action or group through tools such as analysis of the discourse in interviews or focus groups, documentary analysis, or participative observation. It is very useful for understanding why things happen.

Necessary sources

  • Perception of the initiative’s direct participants – essential for evaluating the impact.

  • Results and products from the initiatives (prototypes, facilities, events). They are the evidence that the activities have taken place.

  • Observation by experts in evaluation – essential so that the data collected be as impartial as possible.

Recommended sources

  • Work records for the initiatives (logbooks, recordings, documentation). Document the process.

  • Regulations and protocols from the centre or entity launching the initiative to be evaluated – essential to understanding the way things are done during the process.

  • Perception of the community affected by the initiative, even if they have not participated – essential to understanding the impact of the initiative beyond the immediate circle.