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An Empirical Study of the Implementation of Pay for Safety Scheme (PASS) in the Hong Kong Construction Industry CPD Seminar Organized by CIO Health and Safety Advisory Sub-Group (HK and South China)

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1. Begin by clearly defining your research question or hypothesis. This will guide the entire study and help you focus on the specific variables and interactions you want to investigate.
2. Design your study methodology. Determine what kind of data you need to collect, and how you will collect it. This may involve conducting surveys, interviews, observations, or experiments. Consider the sample size and sampling technique that will yield reliable results.
3. Collect data according to your methodology. Ensure that your data collection methods are rigorous and adhere to ethical guidelines. Use appropriate tools for recording and organizing the data to minimize errors and facilitate analysis.
4. Analyze the collected data using suitable statistical or qualitative analysis techniques. Identify patterns, trends, or relationships in the data that will help answer your research question or support your hypothesis.
5. Interpret the results of your analysis and draw conclusions. Discuss any limitations or sources of bias in your study and suggest areas for further research.

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1. Researchers in academic fields often require empirical studies to support their theories or understand phenomena. Empirical studies provide evidence-based findings that contribute to the body of knowledge in a particular discipline.
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3. Businesses and organizations may conduct empirical studies to gain insights that can inform their strategies, improve operations, or better understand their target audience. These studies help them make data-driven decisions and improve their overall performance.

In conclusion, anyone who wants to explore a research question, make informed decisions, or contribute to knowledge in a specific field can benefit from an empirical study. It provides a systematic and evidence-based approach to understanding phenomena and making informed conclusions.

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