Examine data for five different kinds of possible errors:
- Lack of data – Do some questions have far fewer answers than surrounding questions?
- Excess of data – Are there duplicate responses?
- Outliers/inconsistencies – Are there values that are so far beyond the typical that they seem potentially erroneous?
- Strange patterns – Are there patterns that imply cheating rather than honest answers? For instance, does a respondent alternate between ratings of 4 and 5 on every other topic in a matrix question?
- Suspect analysis results – Do the answers to some questions seem counterintuitive or extremely unlikely?
No comments:
Post a Comment