Resolution of Disagreements
English: % of people in project area who feel that disagreements within their community are resolved satisfactorily
Français: % de personnes dans la région du projet qui estiment que les désaccords au sein de leur communauté sont résolus de manière satisfaisante
Español: % de personas en la zona del proyecto que consideran que los desacuerdos dentro de sus comunidades se resuelven de forma satisfactoria
Português: % de pessoas na área do projeto que acham que as discórdias em sua comunidade são resolvidas de forma satisfatória
What is its purpose?
To assess the effectiveness of exisiting conflict resolution mechanisms in a project area as perceived by differnt groups.
How to Collect and Analyse the Required Data
Collected as part of a survey. Typical questions could ask the extent to which respondents agreed or disagreed with the following statements:
The community of which I am a member treats everybody fairly
Disagreements within the community are usually resolved fairly
Disagreements within the community are usually resolved without violence
Once a conflict has been resolved by community leaders the ruling is usually accepted by all parties to the conflict
For analysis a simpe percentage should be taken of the number of respondents reporting that they agree or strongly agree with the statement(s). Care should be taken in deciding whether this percentage applies to just those surveyed or whether it can be ascribed to the population as a whole. This will depend on the design of the survey and whether it was a representative sample of the population.
Disaggregation is particularly important here as you are looking to see if there are significant differnces between different groups in the community. Gender and age group as standard but you should also include other relevent social identity markers especially those that think may be the most marginalised. You will need to think carefully about who you survey to ensure that you survey sufficient people from these groups to allow you to make meaningful deductions from the data.