Application of Association Rules in Filling Gaps in Survey Data

• Autorzy: Agnieszka Rzepka , Adam Kiersztyn , Radosław Miśkiewicz , Krystyna Kiersztyn
• Języki publikacji: EN

Abstrakty

EN

Purpose: Surveys are one of the most popular data acquisition tools used in economics and management sciences. The results of surveys provide a lot of information and allow for fast response to changes in the socio-economic environment. Unfortunately, in many cases there are missing data in surveys, which can be caused by various reasons. Design/methodology/approach: One of the most common reasons are the respondent's reluctance to provide an answer or distraction while completing the questionnaire. This study presents a novel approach for filling gaps in the survey data. Findings: The main idea of the proposed method is to use the associations between the answers to given sets of questions for different respondents. Originality/value: The obtained association rules were used as input variables and a number of well-known machine learning tools were applied for filling data gaps. The results of numerical experiments confirmed a very high performance of the proposed novel method for filling data gaps in surveys. (original abstract)

Słowa kluczowe

PL

Badania ankietowe; Nauki o zarządzaniu; Metodologia badań

EN

Questionnaire survey; Management sciences; Research methodology

• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Numer: z. 184 Współczesne zarządzanie = Contemporary Management
• Strony: 425-440

Twórcy

autor

Agnieszka Rzepka

• Lublin University of Technology

autor

Adam Kiersztyn

• Lublin University of Technology

autor

Radosław Miśkiewicz

• University of Szczecin

autor

Krystyna Kiersztyn

• Catholic University of Lublin

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Identyfikatory

DOI

10.29119/1641-3466.2023.184.21