Miller Analogies Test

The Miller Analogies Test (MAT) is a standardized test used primarily for graduate school admissions in the United States. Created and still published by Harcourt Assessment (now a division of Pearson Education), the MAT consists of 120 questions in 60 minutes (formerly 100 questions in 50 minutes). Unlike other graduate school admissions exams such as the GRE, the Miller Analogies Test is verbal or computer based.

The test aims to measure an individual's logical and analytical reasoning through the use of partial analogies. A sample test question might be

Bach : Composing :: Monet :

This should be read as "Bach is to (:) Composing as (::) Monet is to (:) _______." The answer would be a. painting because just as Bach is most known for composing music, Monet is most known for his painting. The open slot may appear in any of the four positions.

Unlike analogies found on past editions of the GRE and the SAT, the MAT's analogies demand a broad knowledge of Western culture, testing subjects such as science, music, literature, philosophy, mathematics, art, and history. Thus, exemplary success on the MAT requires more than a nuanced and cultivated vocabulary.

In the fall of 2004, the exam became computerized; the MAT is now solely a computer-based test (CBT).

Out of the 120 questions, only 100 count in the test-taker's score. The remaining 20 questions are experimental. There is no way for test-takers to identify any of the 20 experimental questions on a given test form, as the two types of questions are intermingled.

Tests taken before October 2004 were scored simply by the number of questions the test-taker answered correctly, with a range from 0-100. Scores using this metric have historically been known as "raw" scores.

Tests taken in October 2004 or later have a score range from 200 to 600. The median score is 400, with a standard deviation of 25 points. These scores, based on a normal curve, are known as "scaled" scores. Because of their grounding in this model, scaled MAT scores of 500-600 are extremely rare, as they would be more than four standard deviations above the norm of 400.

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