Ranking scientific journals via latent class models for polytomous item response data
نویسندگان
چکیده
منابع مشابه
Ranking scientific journals via latent class models for polytomous item response data
We propose a strategy for ranking scientific journals starting from a set of available quantitative indicators that represent imperfect measures of the unobservable ‘value’ of the journals of interest. After discretizing the available indicators, we estimate a latent class model for polytomous item response data and use the estimated model to classify each journal. We apply the proposed approac...
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ژورنال
عنوان ژورنال: Journal of the Royal Statistical Society: Series A (Statistics in Society)
سال: 2015
ISSN: 0964-1998
DOI: 10.1111/rssa.12106