BRACED used household surveys to understand the vulnerability level of the communities, priorities of the households and appropriate type of interventions that the beneficiaries needed.
We gathered household surveys during baseline, mid-line and end-line points:
- Baseline data: To establish households’ existing resilience status, what assets they own and knowledge and skills that could help build it further.
- Midterm data: To check how far interventions are achieving these objectives for households and inform how and where changes in plans need to take place.
- End line data: To compare with information gathered at earlier points, to assess whether the programme has met its objectives, and similarly, how and why.
Ultimately, household survey data helps to identify what makes people more resilient in the face of climate extremes, which factors are important for resilience and what the thresholds for resilience are in certain contexts.
To collect the data, first the sample and sampling method are defined. The aim is to pick a sample that is representative of the target population the project seeks to support.
Then questionnaires are developed based around programme aims and concepts of resilience as defined by the community themselves.
These include behavioural indicators seen as desirable for resilience.Such as listening to scientific weather information, or changes in assets seen as desirable for resilience, such as number of goats or food reserves.
We train data collectors hired from project target districts. We set selection criteria to get data collectors with knowledge about the area, local culture and language.
- Solomon Woldetsadik, Senior Programme Officer, Climate Change, Christian Aid Ethiopia.
Survey questions and answers were input in a real-time, online system called KoboCollect.
This type of system was chosen because it’s cheaper and faster than compiling paper questionnaires. It also allows real-time assessment of data, which uploads as soon as the questionnaire is completed.
Mistakes can be spotted immediately and interviewers identified who might not be asking the questions correctly. The system also gives GPS coordinates for interviewees’ homes, meaning they are easier to identify at later evaluation stages.
Equally importantly, the data is kept under password protection so that sensitive information is kept secure.
Online data collection saves time and ensures better quality, real-time information is relayed. It is also far more pleasant for both the interviewer and respondent.
- Patricia Sanou, Head of Programme, BRACED Zaman Lebidi, Burkina Faso, Christian-Aid.