Prepare a common research design.
Agree what each question measures and what the answer will help decide. Use shared codes and response categories. Avoid adding local variants that change the concept without recording the difference.
Country, language and recruitment source describe different things. Decide which variables you need and collect them without assuming one from another.
Translate for equivalent understanding.
Review terms, institutions, examples and scale labels with local partners. A familiar expression in one setting may be obscure in another. Consider the function a service fulfils rather than only its name.
Nuvopoll’s language settings offer 140 language and variant options; supported AI translation options are marked. Review generated text before publication. Other language versions can be written manually.
Pilot the entire participant experience.
- Check welcome text, instructions and participant information.
- Test every conditional route and end-of-survey message.
- Review long labels and mobile screens.
- Ask pilot participants how they understood key questions.
- Check voice-response language and transcript quality where used.
Collect together, interpret with context.
Each language link opens the same study in that language. Responses enter a common table and the language selected at submission is recorded. You do not need to manually combine one file per language.
One table is an operational advantage, not proof of measurement equivalence. Recruitment and participant composition may explain differences between language groups. Report those limits alongside the results.
