Audits and logistic regression, deciding what really matters in service processes. A case study of a government funding agency for research grants

DOI

10.2991/.2013.33How to use a DOI?

Keywords

Logistic regression; ROC curve; probability; audits; government; research grants

Abstract

Governmental agencies, businesses and nongovernmental organizations experience repetitive and out-of-date processes causing resource waste. Banks, credit card companies and tax authorities must evaluate whether creditors have fulfilled their obligations, and funding agencies should verify the use of funds by grant recipients. Here logistic regression estimates the probability of conformity of grants to the financial obligations of the researcher analyzing the correlation between characteristics of the grant and the grant´s final status as approved or not. The logistic equation uncovers relevant characteristics through an analysis of false positives. A ROC curve is constructed which reveals an optimal cutoff for nonconformity.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Robert Wayne Samohyl
PY  - 2013/10
DA  - 2013/10
TI  - Audits and logistic regression, deciding what really matters in service processes. A case study of a government funding agency for research grants
BT  - Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 267
EP  - 282
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.33
DO  - 10.2991/.2013.33
ID  - Samohyl2013/10
ER  -