Problem
My final project topic is: Policy on Hedging Macro Risk of Interest Rate Hikes and Rising Material Costs in Quantity Surveying.
Here is the research objectives I decided:
• Identify successful hedging risk methods through finance rate and commodities options. (literature review on stokesfuturesoptions
• To compare and illustrate the relationship of economic recommendations with a key observing variable. (CPI relate with construction material index..., generally follow economic cycle 8-10 years as observing period)
• To understand and identify how professional quantity surveying firms can provide macro risk management policies and value-added services. (market oportinity, economic secuirity organization, Libor, SOFR)
However, I DON'T want my research too math/statistic methods on the study desigh, prefer relating with policy, but I do need to collection data and analysis, what kind of data that could be suit for my topic?
Based on the task requirement: Study Design - Data Collection and Analysis
This section will vary depending on your project. Please consult with your Project Supervisor to determine which elements apply. In general, this section should describe your:
1) Study type / design, including randomisation (if applicable).
2) Study methodology, offering clear rationales for choices of method(s), tied to project aims and objectives.
3) Research project setting.
4) Identify physical sites, online forums and alternatives.
5) Consider safety and adverse effects / events.
6) Data collection / gathering procedures and techniques, and the timing of activities.
7) What information are you going to collect and how will you do so?
8) How often will data collection occur?
9) What is the size of the population you are sampling?
10) What is your sample size, and how have you determined it OR how will you determine that data saturation has occurred OR that data are sufficient for the purposes of your project?
11) Data analysis and statistical methods.
12) How will you measure, manipulate and/or analyse the information that you collect/gather?
13) How will you address potential bias, confounding factors and missing data/information?