Test Validation Analysis Based on Fuzzy Assessment

Abstract:

In the student culture work, the examination has turned into a recognized assessment tools in the society and different professional certificate authority depend on the examination in many institutions. While the strength and weakness of the examination quality will affect the fairness objectivity and effectiveness of the test results. The study of index and evaluation of the examination is not only a scale that evaluate the effectiveness of the examination but also an important tool that improve the quality of the examination. This paper adopts standard establishment distribution model of employer by the use of extended fuzzy evaluation and will use downhill simplex optimization to establish distribution model results of the examination and calculate index by Aitken interpolation and composite trapezoidal integration method. When the multiple targets are evaluated, COSINE similarity need be used. This method can realize the test validation analysis of small sample.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 2749-2754
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.2749
• Online since: January 2012
• Authors: Tie Wang, Li Qing Wang, Cao Dai, Jing Shang
• Keywords: Fussy Assessment, Non-Statistical Theory, Test Validation

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