Original scale
New scale
Converted value
Quick conversions
1–5 → 1–10
| 1–5 | 1–10 |
|---|---|
| 1 | 1.00 |
| 2 | 3.25 |
| 3 | 5.50 |
| 4 | 7.75 |
| 5 | 10.00 |
How does the Rating Scale Converter work?
A linear transformation keeps a value's relative position between the scale's minimum and maximum — so the meaning of the score stays intact when you move it to a new range. The calculation runs at full precision in your browser; rounding is applied only to the number you see.
new = newMin + ((value − oldMin) ÷ (oldMax − oldMin)) × (newMax − newMin)
Example · 3 on 1–5 → 1–10
- 1 · Range of the original scale: 5 − 1 = 4
- 2 · Relative position: (3 − 1) ÷ 4 = 0.5
- 3 · Range of the new scale: 10 − 1 = 9
- 4 · Result: 1 + (0.5 × 9) = 5.50
Quick answers
What is a rating scale?
A rating scale is a numeric range used to record an opinion, judgement or measurement — for example 1 to 5, 1 to 7, 0 to 10 or 0 to 100. Surveys, questionnaires and Likert items all rely on rating scales.
How do you convert a 1–5 scale to a 1–10 scale?
Take the value's relative position on the 1–5 scale and place it at the same position on the 1–10 scale: newValue = 1 + ((value − 1) / (5 − 1)) × (10 − 1). A 3 on a 1–5 scale becomes 5.50 on a 1–10 scale.
Can I convert Likert scales?
Yes. A Likert item is a rating scale with numeric endpoints, so a 1–7 Likert score converts to a 1–5 or 0–100 scale with the same linear transformation. Keep in mind Likert data is ordinal, so report converted scores as approximations.
Does converting a scale change the relative score?
No. A linear transformation preserves the relative position of the value between the minimum and maximum. Only the units change, not where the score sits within the scale.
Can I convert decimal and negative values?
Yes. Decimal values such as 4.2 and negative scales such as −3 to +3 are fully supported. The calculation always uses the exact value; rounding is applied only when the result is displayed.
How do you choose an appropriate response scale?
A scale can have 5, 6, 7, 10, 20 or even 100 levels. There is no ideal number for every situation. The right choice depends mainly on the precision you need and on respondents' ability to distinguish between the different levels.
The more levels a scale has, the more nuance it allows. But more levels does not necessarily mean more real precision. For example, on a 1–100 scale, the difference between 72 and 73 can be hard to interpret consistently.
Conversely, a scale with few levels is generally easier to use, but it allows less nuance in the answers.
Even or odd scale?
With an odd number of levels (1–5, 1–7, 1–9…), one value sits exactly at the center of the scale.
With an even number of levels (1–6, 1–8, 1–10…), the center falls between two values. Respondents must therefore choose one side or the other if they only use the available values.
This does not necessarily mean that an even scale "removes neutrality": it depends on the meaning given to the values and on the question asked.
To choose your scale, ask yourself three questions:
1. How much nuance is actually useful? Choose enough levels for respondents to express meaningful differences, without creating precision you don't need.
2. Can respondents distinguish the proposed levels? The more levels there are, the harder it can become to give two neighboring values different meanings.
3. Do you want a value exactly at the center of the scale? If so, choose an odd number of levels. If you prefer respondents to position themselves on either side of the center, an even scale may be appropriate.
Remember: a good scale is not the one with the most levels, but the one that offers enough precision for your goal while staying easy and consistent to use.
Finally, always state clearly what the extremes of the scale represent, for example: 1 = Not at all satisfied and 7 = Completely satisfied. If you compare several measures or track them over time, keep the same scale as much as possible.