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 A ustrian science fund-Reference-Cited by-同舟云学术

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 A ustrian science fund

Published:2014-07-14 Issue:11 Volume:66 Page:2321-2339
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:J Assn Inf Sci Tec

Author:

Mutz Rüdiger¹,Bornmann Lutz²,Daniel Hans‐Dieter¹³

Affiliation:

1. Professorship for Social Psychology and Research on Higher Education ETH Zurich Muehlegasse 21 8001 Zurich Switzerland

2. Administrative Headquarters of the Max Planck Society Hofgartenstrasse 8 D‐80539 Munich Germany

3. Evaluation Office University of Zurich Muehlegasse 21 8001 Zurich Switzerland

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.23315

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5. A note on comparing the estimates of models for cluster‐correlated or longitudinal data with binary or ordinal outcomes;Bauer D.J.;Psychometrika,2009

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