Literature DB >> 17535583

Reliability of multiple-component measuring instruments: improved evaluation in repeated measure designs.

Tenko Raykov1.   

Abstract

A covariance structure analysis method for improved point and interval estimation of composite reliability in repeated measure designs is outlined that accounts for specificity variance. The approach also permits the testing of time-invariance in reliability of multiple-component instruments in terms of the ratio of 'pure' measurement error variance to observed scale score variance. In addition, the procedure allows interval estimation of the difference in composite reliability coefficients across assessment occasions. The method described is illustrated with data from a cognitive intervention study.

Mesh:

Year:  2007        PMID: 17535583     DOI: 10.1348/000711006X100464

Source DB:  PubMed          Journal:  Br J Math Stat Psychol        ISSN: 0007-1102            Impact factor:   3.380


  2 in total

1.  An Application of Reliability Estimation in Longitudinal Designs Through Modeling Item-Specific Error Variance.

Authors:  Georgios D Sideridis; Ioannis Tsaousis; Abdullah Al-Sadaawi
Journal:  Educ Psychol Meas       Date:  2019-04-22       Impact factor: 2.821

2.  Alpha, FACTT, and Beyond.

Authors:  Peter M Bentler
Journal:  Psychometrika       Date:  2021-08-16       Impact factor: 2.290

  2 in total

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