Stata + Excel
How to Translate Likert Scale Labels in Survey Data
Likert labels are not just ordinary value labels. They are ordered systems, and small wording changes can alter the perceived intensity of a scale.
That means translation has to preserve order and gradation, not just produce readable English.
Why Likert Scales Need Extra Care
Agreement, satisfaction, frequency, and confidence scales carry ordinal meaning. Strongly agree is not the same as agree, and somewhat satisfied is not the same as very satisfied.
If those distinctions collapse during translation, index construction and category collapsing can become conceptually wrong.
A Good Translation Workflow
- Inspect the full scale as one structure rather than translating categories one by one.
- Check the middle category carefully so neutral does not replace neither agree nor disagree without thought.
- Preserve intensity terms such as very, somewhat, often, and never.
- Preview repeated scale structures before exporting the full file.
What to Avoid
- Do not simplify scales unless your analysis explicitly requires recoding.
- Do not treat don't know or refused as midpoint categories.
- Do not flatten repeated ordinal distinctions into generic high, medium, and low wording.
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FAQ
Can I translate Likert labels without changing the numeric scale?
Yes. Translation changes the readable category text, not the underlying numeric values.
What happens to don't know categories?
They should remain attached to their original codes and should not be treated as part of the ordered scale.
Can repeated Likert scales be translated consistently?
Yes. Repeated scale structures are often best translated once and reused across variables.
Preview Your Own Dataset
Upload a survey file with repeated scales and preview the first three translated label rows before exporting the full dataset.
Upload a dataset