E3S Web Conf.
Volume 235, 20212020 International Conference on New Energy Technology and Industrial Development (NETID 2020)
|Number of page(s)||7|
|Section||Analysis on the Development of Intelligent Supply Chain and Internet Digital Industrialization|
|Published online||03 February 2021|
Research on the Fairness of MPACC Selection Based on Examiner Heterogeneity
School of Accounting, Guangdong University of Foreign Studies, Guangdong, China
2 School of Accounting, Guangdong University of Finance and Economics, Guangdong, China
3 CNOOC deep burning energy Co., Ltd, Guangdong, China
The selection of MPACC (Master of Professional Accountant) is a key step in the training of senior accounting personnel. This paper examines the relationship between examiner heterogeneity and MPACC second test scores. We try to clarify the reason for the unfair phenomenon because of the heterogeneity of examiners in MPACC second test results and seek ways to solve this problem. The study found that the MPACC second test results are unfair. This unfairness is caused by the heterogeneity of the examiner. However, standardized algorithms balance the differences in MPACC examiner heterogeneity. The regression model was constructed by using the MPACC second test scores before and after standardization, which verified the existence of examiner heterogeneity and the effect of the standardized algorithm on the examiner heterogeneity. This article is based on the differences of MPACC second test scores due to examiner’s heterogeneity. We propose the application of standardized algorithm, which will play an important role in improving the quality of MPACC enrollment and promoting the training of senior accounting personnel.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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