Statistical Methods for Assessing the Competence of Experts: Application in the Selection of Documents in the Library Fund

• Published in: Automatic documentation and mathematical linguistics Vol. 59; no. 3; pp. 194 - 199
• Main Author: Timoshenko, I. V.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.06.2025; Springer Nature B.V
• Subjects: Computer Science; Decision theory; Documents; Information Analysis; Information Storage and Retrieval; Libraries; Statistical methods; expert assessments; correlation analysis; modeling; decision theory; expert competence; selection of information resources; library collection
• ISSN: 0005-1055; 1934-8371
• DOI: 10.3103/S0005105525700633

The advantages and disadvantages of experts’ assessments of other experts’ competence in the task of selecting documents for library funds are analyzed, and it is proposed to use the methods of decision theory to improve the selection’s objectivity and quality. Statistical methods of assessing the experts’ competence used in libraries are described, allowing the assessment of the level of experts’ qualifications and the tracking of the dynamics of their competence in the process of conducting a collective examination by means of ILS. The importance of monitoring and adjusting the values of experts’ competence is shown to ensure a high level of quality in document selection, which will necessarily contribute to increasing the efficiency of library collections and the formation of high-quality collections that meet the needs of users.