| Title: | Latent class analysis for identification of occupational accident casualty profiles in the selected Polish manufacturing sector |
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| Authors: | ID Nowakowska, M. (Author)
ID Pajęcki, M. (Author) |
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| Files: |  APEM16-4_485-499.pdf (724,60 KB)
MD5: D37EB0430422D457E1004DC239E93BA4
 https://apem-journal.org/Archives/2021/Abstract-APEM16-4_485-499.html
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FS - Faculty of Mechanical Engineering
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| Abstract: | The objective of the analysis is identifying profiles of occupational accident casualties as regards production companies to provide the necessary knowledge to facilitate the preparation and management of a safe work environment. Qualitative data characterizing employees injured in accidents registered in Polish wood processing plants over a period of 10 years were the subject of the research. The latent class analysis (LCA) method was employed in the investigation. This statistical modelling technique, based on the values of selected indicators (observed variables) divides the data set into separate groups, called latent classes, which enable the definition of patterns. A procedure which supports the decision as regards the number of classes was presented. The procedure considers the quality of the LCA model and the distinguishability of the classes. Moreover, a method of assessing the importance of indicators in the patterns description was proposed. Seven latent classes were obtained and illustrated by the heat map, which enabled the profiles identification. They were labelled as follows: very serious, serious, moderate, minor (three latent classes), slight. Some recommendations were made regarding the circumstances of occupational accidents with the most severe consequences for the casualties. |
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| Keywords: | manufacturing industry, occupational accidents, accident profiles identification, modelling, latent class analysis (LCA), cluster analysis, model selection |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 24.06.2021 |
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| Article acceptance date: | 06.12.2021 |
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| Publication date: | 18.12.2021 |
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| Publisher: | Univerza v Mariboru |
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| Year of publishing: | 2021 |
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| Number of pages: | str. 485-499 |
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| Numbering: | Vol. 16, no. 4 |
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| PID: | 20.500.12556/DKUM-97461  |
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| UDC: | 658.5 |
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| ISSN on article: | 1854-6250 |
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| COBISS.SI-ID: | 270961411 |
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| DOI: | 10.14743/apem2021.4.415 |
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| Publication date in DKUM: | 10.03.2026 |
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| Views: | 181 |
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| Downloads: | 5 |
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| Metadata: |    |
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| Categories: | Misc.
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