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In classical test theory the standard error of measurement is the typical size of the gap between a person's observed score and their true score, that is, the standard deviation of the errors that would arise over repeated testing. It follows directly from reliability: it equals the score's standard deviation times the square root of one minus the reliability, so a more reliable test has a smaller standard error and tighter score bands. Spearman's The proof and measurement of association between two things introduced the true-score-plus-error reasoning this rests on, and Lord and Novick's Statistical theories of mental test scores gave its modern form. The referent is the expected magnitude of measurement error around a score, used to put confidence bands on an individual's result.[1][2]
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