Full-Information Item Bifactor Analysis of the Job Burnout Scale for Chinese College Teachers

descriptionPublicationkeyboard_double_arrow_right Article 30 Sep 2010Publisher:AICITJournal:Journal of Convergence Information Technology, volume 5, pages 155-160 (issn: 1975-9320, eissn: 2233-9299,

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Authors: Peng Wang; Fengqiang Gao;

doi: 10.4156/jcit.vol5.issue7.20

Full-Information Item Bifactor Analysis of the Job Burnout Scale for Chinese College Teachers

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Abstract

The bifactor structure has been considered a credible model for various types of data. Research purposes were: (a) to test the utility of the bifactor IRT model for dimensionality assessment and (b) to confirmatory factor analyze the structure of the newly-developed scale, the Job Burnout Scale for Chinese College Teachers. 1331 teachers were chosen from 11 various Universities in China. 1111(83.47%) were valid. Compared to the unidimensional model, the bifactor model resulted in a statistically improved model fit. The Full-Information Item Bifactor solution provides an excellent alternative.

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