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An Empirical Investigation of Lu's Method of Reliability Estimation

Bibliographic Data

ID20282989
AuthorsSchuyler W Huck (The University of Tennessee), Irene Chuang (The University of Tennessee), Irene C S Chuang (University of Tennessee at Knoxville), Gipsie Ranney (The University of Tennessee), Gipsie B Ranney (University of Tennessee at Knoxville)
Year1981
Volume41
Issue1
Pages23-34
Publication date1981-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational and Psychological Measurement (JOURNAL)
Journal identifiersISSN: 0013-1644 • E-ISSN: 1552-3888
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/001316448104100103
OpenAlexW2053475019
LanguageEN
References cited5

Based upon the belief that examinee-by-item interaction should be conceptualized as true score variability rather than as a result of errors of measurement, Lu (1971) proposed a modification of Hoyt's analysis of variance reliability procedure. Lu claims that his approach is free from the "impurities" and "entanglements" inherent in Hoyt's procedure since with nonadditive data his approach supposedly yields an error MS which estimates just σ ∈ 2 , whereas the residual MS of Hoyt's procedure would estimate σ ∈ 2 + σ αβ 2 . Via a computer simulation study, it is shown that Lu's approach does not separate interaction from error

Algorithm · Econometrics · Reliability (semiconductor) · Residual · Statistics · Thermodynamics · Variance (accounting) · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Multi-Criteria Decision Making · Psychometric Methodologies and Testing

  • Test Reliability Estimated by Analysis of Variance

    Open Access•Cyril J Hoyt, Cyril Hoyt•Psychometrika•1941

  • Estimation of Test Reliability for Unrestricted Item Scoring Methods

    Open Access•Cyril J Hoyt, Clayton L Stunkard•Educational and Psychological…•1952

  • Statistical Control of "Impurity" in the Estimation of Test Reliability

    Open Access•Ke Lu, K H Lu•Educational and Psychological…•1971

  • A note on variance explained in the mixed analysis of variance models

    Jacquelyn W Gaebelein, David R Soderquist et al.•Psychological Bulletin•1976

Citation velocityhistorical
Highly citedNo

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