AI Summary & Key Takeaways
AI InsightStatistical data analysis demonstrated that females and architects who stated that their choice of profession was not voluntary had higher levels of burnout.
📌 3 Key Takeaways
Özet
The objective of the present study is to determine the burnout levels of architects working in architectural firms and to identify whether their burnout levels differentiated based on certain demographic variables. The population of the study included 1250 architects registered with Chamber of Architects in Bursa province. Sample of the study included 150 volunteer architects that work at architectural firms in Bursa and accessed with e-mail. Personal Information Form and Maslach Burnout Inventory (MBI) Form were used as data collection tools in the study. Data analysis was conducted with log linear analysis, which is commonly used for multivariate categorical data analysis. It was determined that the architects had intermediate level of burnout. Correlation between the burnout levels of the architects and factors such as gender, age, education level, marital status, willingness in choice of profession, hours spent at the office, number of architects working at the same office, total weekly work hours, average annual income was analyzed. Statistical data analysis demonstrated that females and architects who stated that their choice of profession was not voluntary had higher levels of burnout.