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Cleaning survey data is the unglamorous prelude to analysis — straightlining, gibberish responses, impossible value combinations. AI can flag patterns at scale that researchers would otherwise eyeball one row at a time.
Survey cleaning rules are pattern-detection at scale; AI applies the patterns so researchers spend more time on judgment calls and less on manual review.
Cleaning decisions made ad hoc bias results. AI can draft a written plan from the codebook so decisions are logged before you see the data.
AI can take a dataset description and propose a structured cleaning plan covering missingness, outliers, transformations, and exclusions.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-research-data-cleaning-from-survey-creators
A respondent selects 'agree' for every single matrix question and completes the survey in 22 seconds. This pattern is an example of:
Which task is AI specifically well-suited to perform in survey data cleaning?
A respondent writes 'asdfghjkl' as their answer to an open-ended question. What should AI flag this as?
What is a fundamental limitation of AI in survey data cleaning?
What does the lesson recommend researchers do after AI flags problematic survey responses?
Which of the following represents an 'impossible value combination' that AI should flag?
The lesson distinguishes between what AI can do and what researchers must do. What is the researcher's responsibility that AI cannot replace?
A respondent's completion time is 20% of the median completion time. Based on the lesson, this would trigger what type of flag?
The lesson warns that AI cleaning rules may miss certain problems. Which problem is specifically mentioned as potentially invisible to AI?
Why might two nearly identical survey responses from different IP addresses still be flagged as duplicates?
The lesson emphasizes that cleaning rules should be reported in which section of research?
A respondent's answers show a consistent pattern that matches 4 other respondents exactly, including identical answers to open-ended questions. This would most likely be flagged as:
The lesson notes that AI cannot substitute for human-coded validity flags on what type of cases?
What distinguishes straightlining from other quality issues in survey responses?
A survey shows respondents completing it in times ranging from 45 seconds to 25 minutes. If the median time is 12 minutes, which completion time would definitely trigger a speed flag?