Scores from different tests are not automatically interchangeable. Matching the label IQ—or even matching the average of 100—does not establish that two scales measure the same things with the same precision.

Compare the ingredients

Two assessments can differ in question content, time limits, age norms, administration and score conversion. One may emphasize visual reasoning while another includes substantial verbal and memory tasks.

Imagine two routes that both report a journey as 100 units. Without knowing whether those units are kilometers or miles, the numbers are not directly comparable. Test scores require their own explanation of the scale and its reference.

Why averaging is usually unhelpful

Taking three online results and calculating their arithmetic mean does not create a more valid IQ estimate. An average can hide differences in scale quality and purpose. It also treats each result as equally informative without evidence for that choice.

If one website changes its score conversion, the average changes even though your answers to the other tests remain identical. A neat calculation can therefore create a misleading appearance of precision.

A comparison checklist

  • Are the tests intended to measure similar constructs?
  • Do they use comparable reference groups and scales?
  • Were administration conditions similar?
  • Is there published evidence linking their scores?
  • Are you comparing totals, domain scores or percentiles?

For formal interpretation, the assessment documentation and a qualified professional are better guides than a universal conversion chart.

Comparing within starp

starp uses a fixed score mapping for its current test. The conversion is consistent, but this does not establish equivalence with another test or prove that different question sets have identical psychometric difficulty.

Use the score history together with correct answers, domain performance and your notes. Treat it as a record of reasoning practice rather than an exact exchange rate between starp and unrelated assessments. The method becomes more useful when the comparison stays within what the evidence supports.