Statistical Tests and Research Assessments

[K S Chudamani]

Significance testing is as pointed out does not provide highly useful 
results. Instead if comparison of ranked lists as done by Chudamani and 
manjula K  reported in pearl journal may help us to under stand the 
variations. Also, if cutoff values for various factors in  ranking
is possible, then comparison may be useful, as shown by Chudamani and 
Ranganath

Chudamani

On Mon, 15 Oct 2012, Bornmann, Lutz wrote:

> In a recent presentation at the 17th International Conference on Science and
> Technology Indicators, Jesper Schneider criticised the proposal of Bornmann,
> de Moya Anegon, and Leydesdorff (2012) and Leydesdorff and Bornmann (2012) to
> use statistical tests in order to evaluate research assessments and
> university rankings.
>
>
>
> A comment on Jesperÿÿs critique can be found at http://arxiv.org/abs/1210.3477
>
>
>
> Lutz
>
>
>
> ---------------------------------------
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>
>
> Dr. Dr. habil. Lutz Bornmann
>
> Division for Science and Innovation Studies
>
> Administrative Headquarters of the Max Planck Society
>
> Hofgartenstr. 8
>
> 80539 Munich
>
> Tel.: +49 89 2108 1265
>
> Mobil: +49 170 9183667
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> Email: bornmann at gv.mpg.de <mailto:bornmann at gv.mpg.de>
>
> WWW: www.lutz-bornmann.de <http://www.lutz-bornmann.de/>
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> ResearcherID: http://www.researcherid.com/rid/A-3926-2008
> <http://www.researcherid.com/rid/A-3926-2008>
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