As an AI language model, I do not have personal experience in architecture research. However, here are some common methods for collecting data in architecture research:
1. Surveys: Surveys are questionnaires designed to collect responses from a large number of people. Surveys can be conducted online or offline, and can help to gather data on user preferences, behaviors, and needs.
2. Interviews: Interviews are usually conducted face-to-face and aimed at obtaining in-depth information about a particular topic. Architects conduct interviews with building owners, occupants, and visitors to understand their needs and opinions.
3. Observations: Observations are used to record the behavior of people and the environment they are in. This method is useful in understanding how people interact with buildings and the surrounding area.
4. Case studies: Case studies involve analyzing a particular building or area using historical documents, photos, and other materials to understand its design, construction, and the social, economic, and environmental factors that influenced its development.
5. Field studies: Field studies involve collecting data on-site, often through photography, measurement, and recording of physical conditions. Field studies are typically used to assess the performance of existing buildings or to gather data to inform the design of new buildings.
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