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Vol.6, No.4, November 2017. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Identification of the Most Efficient Factors that Explain Confrontations Faced by Health Workers by Using a Two-Factor, Cross-Classification Linear Model with Applications
Adnan MAZMANOĞLU, Abdulkadir TEPECiK, Seda MAZMANOĞLU
© 2017 Abdulkadir TEPECiK, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 6, Issue 4, Pages 707-716, ISSN 2217-8309, DOI: 10.18421/TEM64-09, November 2017.
Received: 17 July 2017
Abstract:
The violence that occurs in medical institutions include verbal threats, menacing behaviour, physical attacks, or sexual assaults, which are frequently initiated by patients, their relatives, or other individuals. These acts generate risks for health service workers. Workers in this field are attacked sixteen times more frequently than workers in other fields. In this study, a two-factor cross-classification model was applied, utilizing qualitative data, to identify factors that can provoke confrontations (violence). There are ten levels of factors used in the model. We identified the most common factor (given a certain probability range) as well as the best estimator and single-solution vector.
Keywords –Linear model, variance analysis, two-factored cross-classification, factorial design, modelling. |
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