A binomial latent trait model for the study of Likert‐style attitude questionnaires

作者: David Andrich

DOI: 10.1111/J.2044-8317.1978.TB00575.X

关键词: EconometricsStatisticsFeature (machine learning)Explicit modelLikert scaleLatent traitAs isStyle (sociolinguistics)MathematicsBinomial (polynomial)

摘要: A binomial logistic latent trait model for attitude items constructed and scored in the Likert tradition is proposed. Unconditional maximum-likelihood estimates subject item parameters are examined applied to both simulated real data. Advantages data analyses which accrue from having an explicit questionnaires considered with one particular feature being a ready disclosure as whether or not neutral category functions expected.

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