Vol. 10, No 1: 84–91.

Computer Science and Informatics

 2025

Scientific article

UDK 519.2
pdf-version

Nikita A. Shaban
master's degree, Petrozavodsk State University
(Petrozavodsk, Russia),
mistertwotch@gmail.com

Statistical Analysis and Identification of Dependencies Between Tests on the IQ.KARELIA Platform

Scientific adviser:
Alexey P. Moschevikin
Reviewer:
Grigorij E. Rego
Paper submitted on: 02/10/2025;
Accepted on: 03/30/2025;
Published online on: 03/30/2025.
 Abstract. This paper presents an analysis of the "Non-Decimal Arithmetic" test on the IQ.KARELIA platform. The primary objective was to evaluate the correctness of the question generation algorithm and to identify any unrepresentative or incorrect questions by using the chi-square test and analyzing the percentage of correct answers. The findings indicate that the question issuance algorithm is not inconsistent with uniform issuance. Additionally, there were identified specific problem topics and questions that do not correspond to the intended difficulty level. Based on these results, there were offered recommendations for optimizing the test.
Keywords: IQ.KARELIA, testing, percent correct, open base, closed base, question difficulty, normal testing, control testing

For citation: Shaban, N. A. Statistical Analysis and Identification of Dependencies Between Tests on the IQ.KARELIA Platform. StudArctic forum. 2025, 10 (1): 84–91.

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