Awareness of Rights
English: % of vulnerable target group members aware of their promoted rights
French: % des membres du groupe cible vulnérable conscients de leurs droits promus
Czech: % lidí ze zranitelných skupin s povědomím o svých, projektem propagovaných, právech
What is its purpose?
The indicator assesses the proportion of people from a specific vulnerable group (such as people with disabilities or ethnic minorities) aware of the promoted rights.
How to Collect and Analyse the Required Data
Determine the indicator's value by using the following methodology:
1) Specify the rights your project promotes, including the practical ways these are realized. For example, “right to education” means that every child (irrespective of ethnic origin, gender, religion, disability, etc.) can access free education delivered by competent teachers, in a non-discriminatory manner, in a safe environment, etc. You can also be much more specific by asking about a right to a certain social service.
2) If you assess awareness of several different rights, consider setting a minimum number of rights the respondent needs to be aware of to be considered as “aware of her/his rights”.
3) Conduct individual interviews with a representative number of the target group members. When formulating the question, be as specific as possible, focusing on the meaning and not the definition of the given right. For example, instead of asking “Do you think that you have a right to social security?”, ask “Do you think that you have the right to receive compensation when you get injured at work?” (provide 2-3 examples). Similarly, instead of asking people with disabilities “Do you think that you have a right to non-discrimination in employment?”, ask “Do you think that you have the right to be treated equally with other employees at your workplace?”
4) Calculate the indicator’s value by dividing the number of respondents aware of (the minimum number of) their rights by the total number of interviewed respondents and multiplying the result by 100.
1) Disaggregate the data by sex, wealth, education level, and other relevant criteria.