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.

Rüdiger Mutz|Lutz Bornmann|Hans-Dieter Daniel


Anthology ID:DBLP:journals/jasis/MutzBD15
Year:2015
Venue:Journal of the Association for Information Science and Technology (JASIST)
Pages:2321-2339
URL:https://doi.org/10.1002/ASI.23315
DOI:https://doi.org/10.1002/ASI.23315
DBLP:journals/jasis/MutzBD15
BibTeX:
@article{mutz-2015-testing, author = {R\"{u}diger Mutz and Lutz Bornmann and Hans-Dieter Daniel}, 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}}, journal = {Journal of the Association for Information Science and Technology (JASIST)}, volume = {66}, number = {11}, pages = {2321--2339}, year = {2015}, url = {https://doi.org/10.1002/ASI.23315}, doi = {https://doi.org/10.1002/ASI.23315} }