The Miller Analogies Test is scored on a scale from 200-600. This score is referred to as your **scaled score**; it’s based on how many questions you get correct out of 100 core test questions (although there are an additional 20 non-scored experimental questions). The average Miller Analogies Test scores tend to cluster around 400. But because the MAT is designed similar to IQ tests, the “average” score works a bit differently than on other exams.

## Average test scores on the MAT

**The average Miller Analogies Test score is 400**; this is the 50^{th} percentile (MAT Percentiles). The MAT is similar to an IQ test, it is designed so that almost the entire population will score near the 50^{th} percentile.

The standard deviation on the MAT is 25 points. Even though the MAT is scored up to 600, **nearly 90 percent of the population will score somewhere between 200 and 425**. 99 percent of the population will score between 200 and 450, with less than 1 percent of test takers scoring above this.

It is just about physically impossible to study your way to a perfect score on the Miller Analogies Test. In fact, students who re-take the MAT within 12 months and increase their score more than 50 points will have their scores automatically cancelled by the test maker. Pearson assumes that any increase over 50 points within 12 months indicates that either the person cheated or an error in the scoring has occurred. This should give you some idea of how rare scoring above average on the MAT is (and convince you to score well on the MAT the first time).

In short, nearly everyone scores at or near the average of 400. While “average” may sound disappointing to some students, it should not be seen this way. Most research suggests that even PhD holders would score between 400 and 425 on an exam like the MAT.

Where is the research on the average MAT score of someone with a PhD?

From what I can tell, Pearson hasn’t released any of that information to their website. But they likely do keep internal stats on that. I recommend contacting the Miller Analogies Test makers to ask them about this.

However, what I recommend the most is contacting the PhD program or programs you are applying to. Such programs are usually glad to share stats on the average MAT scores of their own applicants. ANd that’s the statistic that’s most important for getting into a given program. (For more info on this, see Bertrand’s article “Miller Analogies for PhD Programs.”)