Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund.
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%0 Journal Article
%1 journals/jasis/MutzBD15
%A Mutz, Rüdiger
%A Bornmann, Lutz
%A Daniel, Hans-Dieter
%D 2015
%J J. Assoc. Inf. Sci. Technol.
%K dblp
%N 11
%P 2321-2339
%T Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund.
%U http://dblp.uni-trier.de/db/journals/jasis/jasis66.html#MutzBD15
%V 66
@article{journals/jasis/MutzBD15,
added-at = {2020-03-02T00:00:00.000+0100},
author = {Mutz, Rüdiger and Bornmann, Lutz and Daniel, Hans-Dieter},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2157001984c4e16528b7faa037e0bb076/dblp},
ee = {https://doi.org/10.1002/asi.23315},
interhash = {5cfd2a0d1c8f3465ec8313a2c92f5a92},
intrahash = {157001984c4e16528b7faa037e0bb076},
journal = {J. Assoc. Inf. Sci. Technol.},
keywords = {dblp},
number = 11,
pages = {2321-2339},
timestamp = {2020-04-20T12:41:01.000+0200},
title = {Testing for the fairness and predictive validity of research funding decisions: A multilevel multiple imputation for missing data approach using ex-ante and ex-post peer evaluation data from the Austrian science fund.},
url = {http://dblp.uni-trier.de/db/journals/jasis/jasis66.html#MutzBD15},
volume = 66,
year = 2015
}