Related Experiment Video
Updated: May 24, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Occupational injury in America: An analysis of risk factors using data from the General Social Survey (GSS)
1Embry-Riddle Aeronautical University, Worldwide Campus, Department of Aeronautics, 600 S. Clyde Morris Blvd., Daytona Beach, FL 32114, USA. Todd.Smith2@erau.edu
Introduction:
Although much is known about the distribution of occupational injury in terms of various job and employment factors, considerably less is known about other possible risk factors, particularly those involving psychosocial and organizational factors. These factors have not been emphasized in most injury surveillance systems or large scale, population based surveys.
Method:
In this study, data from the 2002 General Social Survey (GSS) and NIOSH Quality of Work Life (QWL) module were used to examine the risk of occupational injury in terms of socio-demographic factors, employment characteristics, and organizational factors.
Results:
The most informative results were obtained from Poisson regression analyses, which identified race, occupational category, and work-family interference as risk factors, and safety climate and organizational effectiveness as protective factors for occupational injury. These results provide guidance for targeting interventions and protective measures to curtail occupational injury in the United States.
Related Concept Videos
Survey Safety
Surveys
Statistical Methods for Analyzing Epidemiological Data
Generalized Anxiety Disorder
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...

