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Categorical Analysis for the Factors of Incustrial Accident Cases  

Jhee, Kyung-Tek (HALLA)
Song, Young-Ho (Graduate School, Department of Safety Engineering, Chungbuk National University)
Chung, Kook-Sam (Department of Safety Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Society of Safety / v.17, no.1, 2002 , pp. 94-98 More about this Journal
Abstract
This study aimed to search for the fundamental accident causes using a categorical analysis, a kind of statistical methods. As the analysis methods, correlation analysis, independence test and logistic regression analysis were used. And the SPSS package, a general-purpose mathematical library, was used to obtain statistical characteristics. As the result of this study, the accident causes associated with factor of 'lost working days' were factors such as 'employed periods', 'sex', 'type of accident', 'month'. In case of applying independence test method, the most important cause was the factor of 'month'. In case that logistic regression analysis method was applied, the cause contributed to the increase structure'. 'less than 6 month'. On the basis of these results, the plan for accident prevention and the proper investment for accident prevention expenditure could be carried out in each workshop.
Keywords
categorical analysis; accident cause; correlation analysis; logistic regression analysis;
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