Occupational Safety and Health Practices, Job Satisfaction, and Environmental Responsibility among Construction Workers
Description
This dataset contains responses from 246 construction workers across nine administrative regions in Bali, Indonesia. The survey was designed to assess workers’ perceptions of Occupational Safety and Health (OSH) practices, their levels of job satisfaction, and their environmental responsibility behavior. The instrument includes five dimensions of OSH practices—awareness and compliance, training, use of personal protective equipment, worker participation, and management commitment—measured using reflective indicators. The dataset supports a structural equation model (PLS-SEM) examining the direct and indirect relationships among these constructs, particularly the mediating role of job satisfaction. This data can be used for further research in construction management, occupational health, and environmental behavior in emerging economies.
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Steps to reproduce
This dataset was generated as part of a study investigating the influence of Occupational Safety and Health (OSH) practices on job satisfaction and environmental responsibility among construction workers in Bali, Indonesia. The following steps outline how the data was collected and how the study can be reproduced: 1. Instrument Design A structured questionnaire was developed, consisting of four parts: Section I: Demographics (age, gender, work experience, job role, and location). Section II: Five OSH practice dimensions: Awareness and Compliance, Training, Personal Protective Equipment (PPE), Worker Participation, Management Commitment, Section III: Job Satisfaction indicators Section IV: Environmental Responsibility indicators All constructs were measured using reflective indicators on a 5-point Likert scale (1 = Strongly Disagree, 5 = Strongly Agree). The questionnaire was validated through a pilot test with 30 respondents and reviewed by OSH and construction management experts. 2. Data Collection The final questionnaire was distributed to construction workers at active construction sites across nine administrative regions in Bali Province, Indonesia. Respondents included field workers, supervisors, and foremen, selected using stratified proportional sampling to ensure regional representativeness. A total of 250 questionnaires were distributed, and 246 valid responses were obtained. Data collection was conducted using printed forms and in-person interviews to improve response accuracy and understanding. 3. Data Entry and Cleaning Responses were manually entered into Microsoft Excel and checked for: Incomplete submissions, Response pattern bias, Outliers or implausible values. Four indicators (JS5, JS6, ER6, ER8) were removed due to low outer loadings during model evaluation. 4. Data Analysis Workflow The dataset was imported into SmartPLS v4.0 for Partial Least Squares Structural Equation Modeling (PLS-SEM). Measurement and structural models were defined as: All constructs reflective, using Mode A. OSH modeled as a second-order construct, composed of five first-order constructs using the repeated indicator approach. Bootstrapping with 2,500 subsamples was used to test significance. The model was evaluated through: Composite Reliability (CR) Average Variance Extracted (AVE) HTMT (Discriminant Validity) Path Coefficients, R², f² Specific and Total Mediation Effects 5. Reproduction and Reuse Researchers can reuse this dataset by: - Replicating the SmartPLS model using the provided indicator names and constructs - Reanalyzing relationships between OSH practices and behavioral outcomes (e.g., satisfaction, responsibility) - Applying similar constructs in other regions or industries for comparative studies
Institutions
- Universitas Hindu Indonesia