How to Analyze Survey Results with AI Quiz

Answers and explanations appear as you take the quiz.

1. What is a codebook in survey analysis?
   • A list of respondents' login credentials
   • A spreadsheet formula for calculating averages
   • A set of named themes with definitions, used to label open-ended answers
   • A software license for survey tools
2. An AI summary says 'about 40% of respondents mentioned price.' What should you do?
   • Recalculate the figure from the labeled responses with a spreadsheet or code
   • Accept it, because language models count accurately
   • Round it to 50% for simplicity
   • Delete the number and add a chart instead
3. What is the best way to confirm that an AI-supplied quote is real?
   • Ask the AI whether it is sure
   • Check whether it sounds like something a respondent would say
   • Rewrite it in plainer language
   • Search the original responses for the exact text, using its response ID
4. What does inductive coding mean?
   • Using only categories decided before reading any responses
   • Letting themes emerge from what respondents actually wrote
   • Coding only the multiple-choice questions
   • Having the AI rate its own accuracy
5. Why include 'other' and 'unclear' codes in your codebook?
   • They make the final chart more colorful
   • They are legally required for all surveys
   • They stop the model from forcing unclear answers into themes that do not fit
   • They increase the survey's response rate
6. What does Cohen's kappa measure?
   • Agreement between two coders, corrected for agreement expected by chance
   • The average answer on an agreement scale
   • The survey's response rate
   • The average length of open-ended answers
7. Before pasting survey responses into a chatbot, which privacy step matters most?
   • Sorting responses by length
   • Translating them into English
   • Converting them to PDF
   • Removing names, emails and other personal details and replacing them with IDs
8. Why report counts alongside percentages for subgroups?
   • Percentages cannot be calculated for subgroups
   • So readers can see when a percentage rests on very few people
   • Counts are always more accurate than code
   • Survey software requires it