Likert Scale Average
Calculator
Results
- Mean rating
- 3.736842
- Percent of scale (%)
- 74.736842
- Normalised score (0-1)
- 0.68421
Academic results
| Mean rating | 3.736842 |
| Percent of scale (%) | 74.736842 |
| Normalised score (0-1) | 0.68421 |
formula-map diagram
- Mean rating
- 3.736842
- Percent of scale (%)
- 74.736842
- Normalised score (0-1)
- 0.68421
Formula breakdown
Formula
Mean = Σ ratings ÷ respondents= 3.7368421052632
Note
This is a simplified model. Grading rules, credit systems and statistical assumptions vary by institution and study design; check your syllabus, registrar or methods guide before relying on these figures.
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See all →Frequently asked questions
Is it statistically valid to average Likert scale responses?+
This is debated: Likert items are technically ordinal data, so means aren't strictly appropriate, but averaging is widely practiced and accepted in social science when treating the scale as approximately interval, especially with 5+ point scales and large samples. Report medians alongside means when rigor matters.
What does an average of 3.5 on a 5-point scale actually mean?+
It indicates responses cluster slightly above the neutral midpoint (3), leaning toward agreement if higher numbers represent agreement, but the average alone hides the distribution; the same mean could come from mostly neutral responses or a mix of strong agreement and disagreement.
Should reverse-coded items be adjusted before averaging?+
Yes, items worded in the opposite direction (like a negatively phrased statement in a positively-framed scale) must be reverse-scored first, so that a high number consistently means the same thing across all items being averaged together.
How do I handle 'neutral' or missing responses in the average?+
Standard practice includes 'neutral' as a valid scale point in the average, but missing or 'not applicable' responses should typically be excluded from the calculation entirely rather than treated as zero, which would artificially skew the average downward.
Why report standard deviation alongside a Likert average?+
The mean alone can't distinguish consensus from polarization: a low standard deviation means most respondents agreed closely with the average, while a high standard deviation means opinions were spread across the scale, even if the average is identical in both cases.