I will be collecting data from three three different groups. I will be interviewing women (probabilistic sample) and then asking them to provide a name to build the other two groups (convenience sample). I would like to know what is the best approach to analyze all this data?
My study is about: Breastfeeding support in the workplace. I already define three groups to obtain data from: 1. working mothers; 2. managers; 3. other employees.
Working mothers sample will be obtained from a database provided by a HR department in the academic setting I am working at. Then I will ask the mothers in the sample to recommend their immediate manager name and also the closest employee working with her (example: sharing office). Here comes my firts question: What is this type of sampling? Then I will be sending a separate self-administered questionnaire to the groups. A different type for women. Managers and colleagues will be receiving an almost identical one. Finally I want to know how to overlap the results in one analysis (if possible).
Hypothesis: Is workplace support influencing the breastfeeding intention and also the breastfeeding duration?
What is the best approach to integrate the three sets of data into one analysis? Is the proposed sampling ok?