Ranking scientific journals via latent class models for polytomous item response data
Author:
Affiliation:
1. University of Perugia; Italy
2. University of Palermo; Italy
3. University of Rome Tor Vergata and Einaudi Institute for Economics and Finance, Rome; Italy
Publisher
Wiley
Subject
Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/rssa.12106/fullpdf
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1. Categorical Data Analysis
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4. Bibliometric evaluation vs. informed peer review: evidence from Italy;Bertocchi;Res. Poly,2014
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