Lie Factor Formula:
Lie Factor: Dimensionless
Size of Effect in Graphic: Visual representation (dimensionless)
Size of Effect in Data: Actual data change (dimensionless)
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Definition: This calculator determines the lie factor, which measures how accurately a visual representation (like a graph or chart) portrays the actual data.
Purpose: It helps identify when visual representations exaggerate or understate the true effect shown in the data.
The calculator uses the formula:
Where:
Explanation: A lie factor of 1 means perfect representation. Values greater than 1 indicate exaggeration, while values less than 1 indicate understatement.
Details: Understanding lie factors helps in critically evaluating visual data representations and creating accurate, honest visualizations.
Tips: Enter the size of effect as shown in the graphic and the actual size of effect from the data. Both values must be > 0.
Q1: What's considered a "good" lie factor?
A: Ideally 1.0. Values between 0.95-1.05 are generally acceptable. Values outside 0.9-1.1 may be misleading.
Q2: Why is this calculator "for women"?
A: It's designed with examples relevant to women's issues, but the calculation works for any data.
Q3: How do I measure the size of effect in a graphic?
A: Measure the relative sizes (e.g., if a bar grows from 1cm to 3cm, the effect is 3/1 = 3).
Q4: What are common cases of high lie factors?
A: Truncated y-axes, 3D effects, and area-based representations often create high lie factors.
Q5: Can lie factors be less than 1?
A: Yes, this means the visual under-represents the actual data change.