Analysing data to summarise it and look for patterns is an important part of every evaluation.
The methods for doing this have been grouped into two categories - quantitative data (number) and qualitative data (text, images).
Analysing numeric data such as cost, frequency, and physical characteristics.
Analysing words, either spoken or written, including questionnaire responses, interviews, and documents.
Expand to view all resources related to 'Analyse data'
- Advanced content analysis: Can artificial intelligence accelerate theory-driven complex program evaluation?
- Coding part 1: Alan Bryman's 4 stages of qualitative analysis
- Coding part 2: Thematic coding
- Evaluation tools
- Leveraging imagery data in evaluations: Applications of remote-sensing and streetscape imagery analysis
- QuIP and the Yin/Yang of Quant and Qual: How to navigate QuIP visualisations
- The art of coding with NVivo
- Using Excel for qualitative data analysis
- Using Word & Excel to analyze qualitative data with Seth Tucker
- Using qualitative comparative analysis to explore causal links for scaling up investments in renewable energy
'Analyse data' is referenced in:
- Communication for Development (C4D) :