Related Experiment Video
Updated: Apr 8, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
A Comparison between the Second Korean Working Conditions Survey (KWCS) and the First KWCS
Young Sun Kim1, Jungsun Park2, Kyung Yong Rhee1
1Safety and Health Policy Research Department, Occupational Safety and Health Research Institute, KOSHA, Ulsan, Korea.
Background:
The study was designed to assess the changes in working conditions through a comparative analysis of the characteristics of working conditions in 2006 and 2010.
Methods:
We performed a comparative analysis of the data related to the first Korean Working Conditions Survey (KWCS) and the second KWCS in the categories of demographic characteristics, quality of labor, exposure to hazards, and health problems.
Results:
From our analysis of the demographic characteristics, we saw an increase in labor force participation rate of women and elderly people. As a result of the investigation with regards to working hours, the ratio of employees who worked for ≥ 49 hours per week was decreased and the ratio of employees who worked for ≥ 40 h/wk increased. As for exposure to hazards, exposure to tobacco smoke notably decreased in 2010 compared with 2006. With regards to health problems, there was a sharp increase in the number of people who complained of muscle pain in their arms and legs.
Conclusion:
KWCS data included many aspects of working conditions as a nationwide sample. In addition, because this is a periodic nationwide survey, the labor force, working hours, harmful factor exposure, and the change in health problems characteristics according to the flow of time could be investigated. The information comparing the main results of the first survey conducted in 2006 and the second survey conducted in 2010 obtained through this study can be used as an important base material for the establishment of the national policy.
Related Concept Videos
Surveys
Types of Surveys
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA
Data Collection by Survey
Cross-Sectional Research

