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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Sources
- Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Lawrence Erlbaum Associates. ISBN: 9780898590067
- American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for Educational and Psychological Testing. AERA. ISBN: 9780935302356
Comment citer cette page
ScholarGate. (2026, June 22). Conditional Standard Error of Measurement Across the Score Scale. ScholarGate. https://scholargate.app/fr/education/conditional-standard-error-of-measurement
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- Théorie de la réponse aux items (TRI)Psychométrie↔ comparer
- Standardized Test AnalysisEducation↔ comparer
- Équation de testsPsychométrie↔ comparer
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