Ranking Scientific Journals via Latent Class Models for Polytomous Item Response
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 approach to data from the Research Evaluation Exercise (VQR) carried out in Italy with reference to the period 2004-2010, focusing on the sub-area consisting of Statistics and Financial Mathematics. Using four quantitative indicators of the journals' scientific value (IF, IF5, AIS, h-index), some of which not available for all journals, we derive a complete ordering of the journals according to their latent value. We show that the proposed methodology is relatively simple to implement, even when the aim is to classify journals into finite ordered groups of a fixed size. Finally, we analyze the robustness of the obtained ranking with respect to different discretization rules.
|Date of creation:||2013|
|Date of revision:||May 2013|
|Contact details of provider:|| Postal: Via Sallustiana, 62 - 00187 Roma|
Phone: +39 066790013
Fax: +39 0647924872
Web page: http://www.eief.it/repec
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Christian Zimmermann, 2012.
"Academic rankings with RePEc,"
2012-023, Federal Reserve Bank of St. Louis.
- Bartolucci, Francesco & Bacci, Silvia & Gnaldi, Michela, 2014. "MultiLCIRT: An R package for multidimensional latent class item response models," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 971-985.
- Chia-Lin Chang & Michael McAleer & Les Oxley, 2010.
"Journal Impact Factor Versus Eigenfactor and Article Influence,"
KIER Working Papers
737, Kyoto University, Institute of Economic Research.
- Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "Journal Impact Factor Versus Eigenfactor and Article Influence," Working Papers in Economics 10/67, University of Canterbury, Department of Economics and Finance.
- Chang, C-L. & McAleer, M.J. & Oxley, L., 2010. "Journal Impect Factor Versus Eigenfactor and Article Influence," Econometric Institute Research Papers EI 2010-67, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Francesco Bartolucci, 2007. "A class of multidimensional IRT models for testing unidimensionality and clustering items," Psychometrika, Springer;The Psychometric Society, vol. 72(2), pages 141-157, June.
- Althouse, Benjamin M. & West, Jevin D. & Bergstrom, Ted C & Bergstrom, Carl T., 2008. "Differences in Impact Factor Across Fields and Over Time," University of California at Santa Barbara, Economics Working Paper Series qt76h442pg, Department of Economics, UC Santa Barbara.
When requesting a correction, please mention this item's handle: RePEc:eie:wpaper:1313. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Facundo Piguillem)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.