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Conditional Standard Error of Measurement

The conditional standard error of measurement (CSEM) describes how much measurement error a test score carries at each point along the score scale, rather than as a single average. A test typically measures more precisely in some score ranges than others — often best near the middle and worst at the extremes — and the CSEM captures that variation. Recognized in test theory by Lord and required by the Standards for Educational and Psychological Testing, it is essential for honest score reporting, especially near cut scores where classification decisions are made.

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Conditional Standard Error of Measurement
Item Response TheoryStandardized Test Analys…Test Equating

Sources

  1. Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Lawrence Erlbaum Associates. ISBN: 9780898590067
  2. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for Educational and Psychological Testing. AERA. ISBN: 9780935302356

How to cite this page

ScholarGate. (2026, June 22). Conditional Standard Error of Measurement Across the Score Scale. ScholarGate. https://scholargate.app/en/education/conditional-standard-error-of-measurement

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ScholarGateConditional Standard Error of Measurement (Conditional Standard Error of Measurement Across the Score Scale). Retrieved 2026-06-24 from https://scholargate.app/en/education/conditional-standard-error-of-measurement · Dataset: https://doi.org/10.5281/zenodo.20539026