Estimation of maximal reliability: A note on a covariance structure modelling approach | Zendy

Raykov Tenko | Zendy

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Estimation of maximal reliability: A note on a covariance structure modelling approach

Author(s) -

Raykov Tenko

Publication year - 2004

Publication title -

british journal of mathematical and statistical psychology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.157

H-Index - 51

eISSN - 2044-8317

pISSN - 0007-1102

DOI - 10.1348/000711004849295

Subject(s) - covariance , reliability (semiconductor) , measure (data warehouse) , mathematics , estimation , software , covariance function , computer science , session (web analytics) , algorithm , statistics , data mining , engineering , power (physics) , physics , systems engineering , quantum mechanics , world wide web , programming language

A one‐step covariance structure analysis procedure for estimation of maximal reliability of linear composites with congeneric measures is outlined. The approach is readily employed within a single modelling session using popular covariance structure analysis software, and permits simultaneous estimation of the optimal measure weights with standard errors. The method is illustrated by a numerical example.

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