Online IQ tests do not all have the same accuracy. A useful evaluation starts with the evidence for a particular test, not a universal error margin assigned to every website.

Check five parts of the claim

  • Scoring: Are correct answers defined, and is the conversion method explained?
  • Reference group: Who supplied the comparison data, and how were they selected?
  • Validation: What evidence supports the specific interpretation being offered?
  • Conditions: Were time limits, instructions and assistance controlled?
  • Purpose: Is the result intended for practice, personal insight or a formal decision?

A clear answer to one question does not answer all five. For example, a perfectly consistent scoring program can still lack evidence that its output matches a professionally administered assessment.

Watch for evidence that does not match the promise

Suppose a site says its questions have definite solutions. That supports checking whether an answer is correct. It does not establish that a score predicts academic performance or places someone accurately within a national population.

Likewise, a large number of completions is not enough by itself. You need to know whether they are independent, representative and suitable for the claimed comparison. A familiar bell-curve picture supplies no answer to those questions.

What starp's calibration establishes

starp applies a fixed mapping to correct-answer totals. The mapping was calibrated with 12,700 simulated completed assessments to give that group an average of 100. This makes the scoring procedure defined and reproducible.

The simulation does not establish a clinically validated error margin or age-based population norms. Read the About page for the method rather than assuming that every common interpretation of an IQ score transfers to it.

Use accuracy questions to make a choice

For practice, inspect whether explanations are clear and the rules make sense. For formal use, confirm the required assessment and interpretation process. An honest, specific description of a test is more useful than an unsupported claim that it is universally accurate.