Estimation of the KR20 reliability coefficient when data are incomplete | Zendy

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Estimation of the KR20 reliability coefficient when data are incomplete

Author(s) -

Huynh Huynh

Publication year - 1986

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 - 10.1111/j.2044-8317.1986.tb00846.x

Subject(s) - reliability (semiconductor) , point estimation , statistics , variance (accounting) , confidence interval , estimation , point (geometry) , mathematics , computer science , econometrics , engineering , power (physics) , physics , geometry , accounting , systems engineering , quantum mechanics , business

Attention is focused on the estimation of the KR20 reliability coefficient when data are incomplete. In terms of point estimate, it is found that the analysis of variance procedure (Henderson's Method 1) would be most suitable among the three techniques studied. Confidence coefficients are provided for the KR20 when data are incomplete.

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