Reliability and Expected Loss: A Unifying Principle.

Cooil, Bruce; Rust, Roland T.

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Peer reviewed

ERIC Number: EJ488858

Record Type: Journal

Publication Date: 1994

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0033-3123

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Reliability and Expected Loss: A Unifying Principle.

Cooil, Bruce; Rust, Roland T.

Psychometrika, v59 n2 p203-16 Jun 1994

It is proposed that proportional reduction in loss (PRL) be used as a theoretical basis to derive, justify, and interpret reliability measures to gauge reliability on a zero-to-one scale. This PRL approach simplifies the interpretation of existing measures (e.g., generalizability-theory measures). (SLD)

Descriptors: Data Analysis, Equations (Mathematics), Estimation (Mathematics), Generalizability Theory, Mathematics Tests, Qualitative Research, Reliability, Statistical Studies, Test Theory

Publication Type: Reports - Research; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A