Measurement Scales Pyramid
Run the Measurement Scales Pyramid Fullscreen
About This MicroSim
This interactive infographic visualizes the four measurement scales as a hierarchy where each level adds mathematical capabilities. The pyramid shape reinforces that:
- More variables fit into the lower categories (wider base)
- More operations are possible at higher levels (narrower top = more exclusive)
How to Use
- Hover over any layer to see 5 example variables of that measurement type
- Click a layer to see which statistical tests are appropriate for that scale
- Click again to deselect and return to hover mode
The Four Measurement Scales
1. Nominal (Base)
- Operations: Equality only (= ≠)
- Example: Jersey numbers, eye color, blood type
- Statistics: Mode, chi-square tests, frequency tables
2. Ordinal
- Operations: Equality + ordering (= ≠ < >)
- Example: Race positions, Likert scales, pain ratings
- Statistics: Median, Spearman correlation, Mann-Whitney U
3. Interval
- Operations: Equality + ordering + equal intervals (= ≠ < > + −)
- Example: Temperature in Fahrenheit, IQ scores, calendar dates
- Statistics: Mean, t-tests, Pearson correlation, regression
4. Ratio (Top)
- Operations: Full arithmetic (= ≠ < > + − × ÷)
- Example: Height, weight, age, income
- Statistics: All statistical tests, geometric mean, coefficient of variation
Why This Matters
Choosing the wrong statistical test for your measurement scale can lead to meaningless results. For example:
- Computing the mean of jersey numbers is meaningless (nominal data)
- You can't say "80°F is twice as hot as 40°F" (interval, not ratio)
- Race positions 1st, 2nd, 3rd don't tell you the time gaps (ordinal)
Learning Objectives
After exploring this visualization, students should be able to:
- Remember (L1): Name the four measurement scales in order
- Understand (L1): Explain what operations are valid for each scale
- Apply (L2): Classify any variable into the correct measurement scale
- Analyze (L3): Select appropriate statistical tests based on measurement scale
Related Resources
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