AI survey non-response bias diagnostic memo

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-ai-survey-non-response-bias-memo-creators

1. A researcher wants to use AI to help assess whether their survey results might be biased because certain groups were less likely to respond. What is the PRIMARY task AI can perform in this process?

   1. Compare respondent demographics to known population characteristics
   2. Replace the researcher's judgment about whether the data is usable
   3. Select the appropriate statistical weighting method to apply
   4. Confirm whether bias definitely exists in the dataset

2. In the context of non-response bias analysis, which task is beyond what AI can reliably do?

   1. Suggest which diagnostic tests to run based on the study design
   2. Draft language describing potential limitations for a report
   3. Determine definitively whether bias is present in the data
   4. Compare respondent demographics to external population benchmarks

3. A researcher has survey data and wants to check for non-response bias. To which two things should the respondent demographics be compared?

   1. The sample frame and known population benchmarks
   2. The survey questions and the response options
   3. Previous studies and theoretical expectations
   4. The researcher's hypotheses and the actual results

4. What is a sample frame in survey research?

   1. The population of people the researcher wants to generalize to
   2. The complete list or set of individuals from which a survey sample is drawn
   3. The specific questions asked in the survey instrument
   4. The software platform used to collect survey responses

5. A researcher includes a note that says '[need source]' in their memo. What does this most likely indicate?

   1. The sample size is too small to draw meaningful conclusions
   2. The survey instrument was poorly designed and omitted important questions
   3. The AI could not find the necessary information to complete the comparison
   4. The researcher is missing data from their own respondent pool

6. What is the purpose of weighting in survey research?

   1. To make every respondent's answer count equally in the final analysis
   2. To increase the total number of respondents in the study
   3. To adjust sample demographics to better match known population characteristics
   4. To ensure that all questions are answered by every participant

7. Which of the following is a standard diagnostic for non-response bias?

   1. Testing whether the survey instrument has internal consistency
   2. Running a correlation between all questionnaire items
   3. Comparing early responders to late responders
   4. Calculating the mean and standard deviation of responses

8. Why is comparing respondent demographics to the sample frame important?

   1. To identify whether certain groups from the original sampling list were less likely to respond
   2. To ensure the survey questions were appropriately designed
   3. To determine if the sample size was adequately powered
   4. To verify that the survey platform is functioning correctly

9. What should a limitations section of a survey research report typically address?

   1. Potential sources of bias including non-response bias
   2. The funding sources and potential conflicts of interest
   3. The statistical software used for analysis
   4. The educational background of the research team

10. A methodologist receives a non-response bias diagnostic memo drafted by AI. What is their PRIMARY responsibility?

    1. Approve the memo as written since AI generated it
    2. Delete any section that mentions potential bias
    3. Submit the memo without reviewing it
    4. Run the suggested diagnostics on the actual data and interpret results

11. Which statement best describes what AI can do when drafting a non-response bias memo?

    1. AI can compare respondent demographics to population benchmarks and suggest diagnostics
    2. AI can definitively prove whether bias exists in the survey data
    3. AI can select and apply the correct statistical weighting scheme
    4. AI can replace the need for a methodologist or researcher in the analysis

12. If the demographic profile of survey respondents closely matches known population benchmarks, what can be concluded?

    1. The weighting procedure was definitely applied correctly
    2. This suggests non-response bias is less likely, though not impossible
    3. Non-response bias is definitely not present in the study
    4. The survey is valid and can be published immediately

13. What does it mean to 'diagnose' non-response bias in a survey study?

    1. Determining the exact number of people who chose not to participate
    2. Prescribing statistical corrections to make the data appear more representative
    3. Treating respondents who have medical conditions that affected their answers
    4. Systematically checking for patterns that suggest certain groups were underrepresented

14. A survey researcher notices that younger people are significantly under-represented in their respondent pool compared to population benchmarks. What should be done?

    1. The survey should be discarded and a new study started
    2. This should be noted as a potential source of non-response bias and addressed in the analysis
    3. Researchers should delete data from older respondents to balance the sample
    4. The survey platform should be replaced with a different service

15. Why might late responders be used as a proxy for non-responders in bias diagnostics?

    1. People who respond late are often more similar to those who never respond
    2. The survey platform automatically categorizes late responders as non-responders
    3. Late responders are always more accurate in their answers
    4. Late responders tend to have higher income levels