Estimation of Measurement Error Variance at Specific Score Levels

1996/06/01 by Leonard S. Feldt, Audrey L. Quails
Decision Sciences · Mathematics · #Advanced Statistical Methods and Models #Advanced Statistical Process Monitoring #Multi-Criteria Decision Making

paper · doi:10.1111/j.1745-3984.1996.tb00486.x

crossref issued 1996/06/01 · crossref published 1996/06/01 · crossref published-print 1996/06/01 · openalex publication_date 1996/06/01 · crossref published-online 2005/09/12 · crossref created 2005/09/12 · crossref deposited 2023/10/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29 · crossref indexed 2026/07/30

Abstract

An improved method is derived for estimating conditional measurement error variances, that is, error variances specific to individual examinees or specific to each point on the raw score scale of the test. The method involves partitioning the test into short parallel parts, computing for each examinee the unbiased estimate of the variance of part‐test scores, and multiplying this variance by a constant dictated by classical test theory. Empirical data are used to corroborate the principal theoretical deductions.

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