کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
523545 868374 2008 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Latent Markov modeling applied to grant peer review
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Latent Markov modeling applied to grant peer review
چکیده انگلیسی

In the grant peer review process we can distinguish various evaluation stages in which assessors judge applications on a rating scale. Research on the grant peer review process that considers its multi-stage character scarcely exists. In this study we analyze 1954 applications for doctoral and post-doctoral fellowships from the Boehringer Ingelheim Fonds (B.I.F.), which are evaluated in three stages (first: evaluation by an external reviewer; second: internal evaluation by a staff member; third: final decision by the B.I.F. Board of Trustees). The results of a latent Markov model (in combination with latent class analysis) show that a fellowship application has a chance of approval only if it is recommended for support already in the first evaluation stage, that is, if the external reviewer's evaluation is positive. Based on these results, a form of triage or pre-screening of applications seems desirable.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 2, Issue 3, July 2008, Pages 217–228
نویسندگان
, , ,