Project 5

Step 4: Data Analysis

1. Quantitative Analysis:

Use statistical software (e.g., SPSS) to conduct descriptive and inferential statistical analysis on the questionnaire data.

Analyze the relationships between sources of stress, symptoms of anxiety, and coping strategies.

2. Qualitative Analysis:

Encode and theme the interview data to identify the main sources of stress and coping strategies.

Extract respondents’ views and suggestions on the 996 work culture.

Step 5: Design and Test Intervention Measures

1. Design:

Based on literature review and data analysis results, design a comprehensive intervention program.

Include time management skills, psychological support, and relaxation training.

2. Test:

Conduct a 4-week pilot test in a small company or department.

Collect feedback and effectiveness data from participants to evaluate the effectiveness of the intervention measures.

Step 6: Optimization and Promotion

1. Optimize the intervention measures based on the test results to ensure their effectiveness and feasibility.

2. Develop a long-term effectiveness evaluation plan to track the effects of the intervention measures.

3. Prepare for wider promotion and explore applicability in other cultural contexts.

Timeline

1. Week 1-2: Further clarify the research question and design the questionnaire and interview outline.
2. Weeks 3-4: Distribute questionnaires, conduct interviews, and collect preliminary data.
3. Weeks 5-6: Data analysis and initial design of intervention measures.
4. Weeks 7-8: Implement intervention measures, collect feedback and effectiveness data.
5. Weeks 9: Optimize intervention measures and prepare the final report and promotion plan.

Reference

Luo, Meng, R., Li, J., Liu, B., Cao, X., & Ge, W. (2019). Self-compassion may reduce anxiety and depression in nursing students: a pathway through perceived stress. Public Health (London), 174, 1–10. https://doi.org/10.1016/j.puhe.2019.05.015