IQ confidence interval calculator
A 95% confidence interval for an IQ score is the obtained score plus or minus 1.96 standard errors. Enter a score and the test's reliability to get the range.
SEM = SD × √(1 − reliability)
95% CI = score ± 1.96 × SEM
How the interval is worked out
No test is perfectly reliable. Every score contains some error from fatigue, distraction and the luck of which items were easy. The standard error of measurement (SEM) puts a size on it: SEM = SD × √(1 − reliability). The 95% interval is the score ± 1.96 × SEM.
Worked example: a score of 125 with reliability 0.95. SEM = 15 × √0.05 = 3.35. The interval is 125 ± 6.6, which rounds to 118 to 132. That runs from the 88.5th to the 98.4th percentile, and crosses from high average to very superior on the IQ chart.
Which reliability should you pick?
Use the figure published in the test's manual if you have it. The WAIS-IV manual reports a full-scale reliability of 0.98 (see Canivez, 2010, below). For a test with no published figure, the lower options are assumptions. They show how quickly the interval widens as reliability falls, and they are not measured values for any online test, ours included.
The interval covers random error only. It does not fix a test normed on the wrong group, or norms that have aged. To read the score itself, use the IQ percentile calculator, or put two scores side by side with the IQ comparison tool. For index, scaled or T-scores on a report, the standard score to percentile calculator converts each one. A score that will be used for a decision needs a psychologist, not an online estimate.
Frequently asked questions
What is a confidence interval for an IQ score?
What is the standard error of measurement (SEM)?
Why do different IQ tests have different reliability?
How wide is the interval for a typical IQ test?
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Sources
- Canivez, G. L. (2010). Review of the Wechsler Adult Intelligence Test, Fourth Edition. In Mental Measurements Yearbook, Buros Institute (reports WAIS-IV full-scale reliability of .98).
- Wikipedia, Standard error of measurement.