How to craft a best questionnaire for mini thesis project? By: M.Tariq Architecture research methods, lecture
Would you prefer (Brighter Lighting) or ️ (Dimmer Lighting)? Do you find the current noise level ️ (Talkative) or would you prefer a quieter atmosphere? (Quiet)
What is a Questionnaire? A structured set of questions used to collect data from a specific population Provides a standardized way to gather information from a large group of people Can be used to gather quantitative (numerical) and qualitative (descriptive) data
Defining Your Research Objectives What information do you need to gather to support your thesis? Do you find the current booth seating (Comfortable) or would you prefer more . How will the data from the questionnaire inform your design project? Clearly define your research goals before formulating questions
Identifying Your Target Audience Who will be responding to your questionnaire? Consider demographics, profession, experience level, etc. Tailor your questions to the specific knowledge and interests of your target audience
Formulating Effective Questions Clear and concise: Questions should be easy to understand and unambiguous. Neutral language: Avoid using leading questions or language that could bias responses. Variety of question types: Use a mix of closed-ended (multiple choice, yes/no) and open-ended questions to gather both specific and detailed data.
Visualization Techniques Quantitative Data (Numerical Responses) Bar Charts: Great for comparing frequencies of responses across categories (e.g., preferred building materials). Histograms: Show the distribution of numerical data (e.g., ideal room temperatures). Line Graphs: Track trends over time or across different variables (e.g., importance of lighting in different building zones). Pie Charts: Useful for visualizing proportions of a whole (e.g., percentage preferring natural vs. artificial light).
Qualitative Data (Descriptive Responses):Word Clouds: Highlight frequently used words or themes in open-ended answers. Affinity Diagrams: Group similar responses together to identify patterns and recurring themes.