Smart Survey Design Principles
Understanding questionnaire design for effective data collection Year 11 Mathematics/Statistics NSW Curriculum
Learning Objectives
Write clear and unambiguous survey questions to collect data Explain how privacy, bias, ethics and cultural responsiveness relate to data collection Apply questionnaire design principles in real-world contexts Identify common survey design mistakes and how to avoid them
What Makes a Good Survey Question?
Think about surveys you've completed recently What made some questions easy to answer? What made others confusing or difficult?
Key Principles of Question Design
Use simple, clear language Avoid leading or loaded questions Ask one thing at a time (avoid double-barrelled questions) Provide balanced response options Consider the logical order of questions
Question Makeover Challenge
Work in pairs to improve these poorly written questions: 1. 'Don't you think the new cafeteria food is terrible and overpriced?' 2. 'How often do you exercise and eat healthy food?' 3. 'What's your age and income level?'
Good vs Poor Question Examples
{"left":"GOOD: 'How satisfied are you with the school cafeteria food?' (Very satisfied/Satisfied/Neutral/Dissatisfied/Very dissatisfied)\nPOOR: 'The cafeteria food is great, isn't it?' (Yes/No)\nGOOD: 'How many hours per week do you spend on homework?' (0-2, 3-5, 6-8, 9+ hours)","right":"POOR: 'Do you spend too much time on homework?' (Yes/No)\nGOOD: 'Which of these best describes your exercise frequency?' (Daily/3-4 times per week/1-2 times per week/Rarely/Never)\nPOOR: 'How often do you exercise and what sports do you play?'"}
Types of Survey Questions
Closed-ended: Multiple choice, rating scales, yes/no Open-ended: Text responses for detailed feedback Likert scales: Measure attitudes and opinions Ranking questions: Prioritize options Demographic questions: Age, gender, location (if relevant)
Privacy and Ethics in Data Collection
'Respect for persons requires that subjects be given the opportunity to choose what shall or shall not happen to them.' - Belmont Report
Ethical Considerations
Informed consent: Participants must understand the purpose Anonymity vs confidentiality: Know the difference Voluntary participation: No coercion or pressure Data security: Protect collected information Right to withdraw: Participants can stop anytime
Avoiding Bias in Surveys
Response bias: Social desirability, acquiescence Sampling bias: Who you include/exclude matters Question order effects: Early questions influence later ones Cultural sensitivity: Consider diverse backgrounds Language barriers: Use accessible vocabulary
Design Your Own Survey
Choose a school-related topic (e.g., study habits, extracurricular activities, lunch preferences) Create 8-10 questions using different question types Include ethical considerations (consent statement, privacy notice) Consider cultural sensitivity and accessibility
Summary: Smart Survey Design
Clear, unbiased questions lead to reliable data Ethical considerations protect participants and improve data quality Cultural sensitivity ensures inclusive research Good design takes time but prevents problems later Always pilot test your survey before full deployment