L9.1 - Methods in Neuroethics: the survey

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What consists of a good VS bad survey

Last updated 2:12 AM on 4/19/26
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7 Terms

1
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What are the different methods in neuroethics? (quantitative VS qualitative approaches)

Quantitative = numerical, objective

methods that involve measuring, counting and using statistical models to test hypotheses

  • neuroimaging studies (fMRI, PET, MRI)

  • electrophysiology (EEG)

  • stimulation techniques (TMS)

Qualitative = descriptive, interpretive

methods that involve interpreting contextual behaviours and subjective expriences

  • interviews & focus groups

  • survey => contrasting vignette

  • case study

2
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Discuss active VS passive data capture + some examples

Active Data Capture = directly asking people, involving participants

  • questionnaire

  • interviews

  • focus groups

  • events

Passive Data Capture = collecting data without people being aware

  • internal comms

  • databases

  • observations

  • social media

3
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<p>What are these? + Fill in the blanks of their pros and cons </p>

What are these? + Fill in the blanks of their pros and cons

ACTIVE data capture

<p>ACTIVE data capture </p>
4
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<p>What are these? + Fill in the blanks of their pros and cons </p>

What are these? + Fill in the blanks of their pros and cons

PASSIVE data capture

<p>PASSIVE data capture </p>
5
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Explain the evolution of survey (old, new, old?)

1930s -1960s : going door to door, sampling at different geographic areas

1960s -1990s : telephoning to reach people => ↑reach BUT ↓response rate (hang up)

1990s - Now : lots of PASSIVE data capture (EX: social media data) => ↓costs BUT ↑fraud

6
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What are surveys trying to capture?

  • public attitudes

  • patient experience / satisfaction

  • factors in decision making

7
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Describe a good survey VS common problems with surveys

Good

  • questions related to the purpose of the study / research question

  • not measuring other concepts (unrelated)

  • account for language & cultural differences => concepts that have same meaning to all respondents

Problems

  • low readability SO prioritize simple vocabulary / comprehensible by large population

  • double-barreled questions (asking 2 things but only allow 1 answer, careful for the word AND in the question)

  • answers not matching the questions

  • incomplete answer scales & uneven increments SO account for no and neutral options