A Full-Scale IQ is an average of several narrower index scores, and when those indexes disagree by enough, the average describes none of them well.
A psychoeducational or clinical report hands back a single headline number and calls it the IQ. Underneath that number sit several others from the same testing session, each measuring a narrower slice of reasoning, and in a meaningful share of reports those narrower scores do not agree with each other. When the disagreement is large enough, the single number at the top of the page is the least informative line in the entire document.
A Full-Scale IQ is not a seventh, independently measured quantity. It is a composite built from the index scores the same battery produces, weighted and combined by a published formula, then placed on the familiar mean-100, standard-deviation-15 scale. Like any score on that scale, it carries a standard error of measurement and should be read as a range rather than a point — the arithmetic behind that is covered in our piece on why an IQ score is a band, not a number, and the same logic applies one level down, to every index discussed here.
Because it is an average, a Full-Scale score answers a specific question well — "broadly, where does this person sit against the norm sample" — and a different question badly: "is this person's profile even, or are there real peaks and valleys in it." Averaging is how the first question gets answered and exactly what makes the second one invisible unless someone looks past the total.
Contemporary Wechsler-family and comparable batteries report a Full-Scale score alongside four or five index scores, each built from a small cluster of subtests aimed at one domain. The labels vary slightly by test edition, but the domains are stable across the field:
Each index is itself a composite of two or three subtests, put on the same mean-100, standard-deviation-15 scale as the total so they can be compared directly. That shared scale is what makes a gap between indexes measurable rather than just a feeling: a 15-point spread between two indexes is one full standard deviation, and that is a large, specific gap, not a rounding difference.
An average is a single sentence written over four or five different stories. Reading only the average is reading a summary of a summary.
Consider a report where Verbal Comprehension lands at 118, Working Memory at 112, Visual-Spatial Reasoning at 100, and Processing Speed at 84. Averaged and weighted through the standard formula, the Full-Scale IQ comes out close to 100 — "average," in the plainest reading of the term. But no single index in that profile actually reads as 100. The person is a strong verbal reasoner with markedly slow processing speed, and the composite erases both facts by landing exactly between them.
This is not a rare edge case. Meaningful scatter between indexes shows up often enough in clinical and educational testing that manuals publish tables for exactly this purpose — thresholds for how large a gap between two indexes has to be before it counts as unusual rather than ordinary variation, and separately, how large a gap has to be before it is considered clinically meaningful. Reading the total without checking those tables treats a real, measurable pattern as if it were noise.
Index scatter has a well-documented extreme case: a profile with an ordinary or low Full-Scale score sitting alongside one narrow ability that is exceptional, sometimes far outside what the composite would predict. Our piece on savant syndrome and IQ tests works through that pattern in detail — it is the clearest illustration of why the total and the profile can tell almost opposite stories, and why an evaluator who only reads the headline number would miss the actual finding entirely.
None of this makes the Full-Scale score useless — for many people it is a reasonably faithful summary, because their index scores really do cluster close together. The point is that it needs checking, not assuming. A few habits make the check quick:
A useful habit, once the indexes are in hand: treat the Full-Scale number as a hypothesis about the profile, not a substitute for looking at it. If the indexes are close together, the hypothesis holds and the total is doing its job. If they are far apart, the total is describing an average of two different people who happen to share one body, and the profile is where the real information lives.
Curious what your own index profile looks like rather than a single averaged number? Take a properly normed assessment and read the full breakdown, not just the total.
Find your IQ score now! →The habit generalises past testing. Any summary statistic — a grade point average, a customer rating, a batting average — buys its simplicity by discarding the shape of what it summarises. An IQ report is unusual mainly in that it hands you the underlying components on the same page as the average, for free. Reading past the top line is the entire skill, and it costs nothing but looking one section further down the report.
The Full-Scale IQ is a single composite built by combining and weighting several index scores, placed on the overall mean-100, standard-deviation-15 scale. Each index score measures one narrower domain — such as verbal comprehension or processing speed — on that same scale, built from two or three subtests aimed specifically at that domain. The Full-Scale score summarises them; the index scores show where they actually stand.
Some gap is typical and expected — very few people have a perfectly flat profile across all indexes. Test manuals publish discrepancy tables showing how large a gap has to be, in points, before it is statistically unusual rather than ordinary variation. A ten-point spread is common; a gap of two standard deviations or more is uncommon enough that it is treated as a specific finding worth investigating.
Yes, specifically when the underlying index scores are widely spread apart. In that situation the Full-Scale number sits between strengths and weaknesses that are both real, and describes neither one accurately. It is most representative when the index scores cluster close together, which is common but not universal.
None of them, in isolation — the value is in the pattern across all of them, compared against each other and against the discrepancy tables in the test manual. A single index quoted alone carries a wider margin of error than the Full-Scale total, because it rests on fewer items, which is the same principle covered in our piece on why an IQ score is a range rather than a fixed number.
Corrections: spotted an error? Email corrections@iqmetrics.org and we will update this story and note the change here.
Every properly built test publishes a standard error of measurement alongside the score. On a mean-100, standard-deviation-15 scale it is large enough that a reported 104 and a reported 111 are not reliably different results.
On the scale most modern tests use, 120 sits around the 91st percentile. Change the scale and the same number moves. Add the measurement error every test carries and it stops being a point at all.

The first IQ scores came from dividing mental age by chronological age. The formula worked reasonably well for children and produced nonsense for adults — which is exactly why every major test replaced it.
Our IIF-certified assessment reports your score with its scale, percentile and confidence range — and a breakdown of the cognitive domains behind it.
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