Rules for Asking Questions Responsibly When Collecting Data

📚 Quick Study Guide

• 💡 Purpose: Understand the ethical considerations when formulating questions for data collection.
• 🎯 Clarity: Ensure questions are clear, concise, and unambiguous to avoid misinterpretations.
• ⚖️ Bias: Minimize bias by avoiding leading questions or loaded language.
• 🔒 Privacy: Protect the privacy and confidentiality of respondents by anonymizing data where possible.
• 🤝 Respect: Treat all respondents with respect and obtain informed consent when necessary.
• 📜 Transparency: Be transparent about the purpose of the data collection and how the data will be used.
• 🚫 Manipulation: Avoid manipulative or deceptive questioning techniques.

Practice Quiz

1. Which of the following is the MOST important consideration when formulating questions for data collection?
   • A) The length of the questionnaire
   • B) The font size used
   • C) Ensuring the questions are clear and unbiased
   • D) The color of the paper
2. What does it mean to avoid 'leading questions' in data collection?
   • A) Asking questions that are difficult to answer
   • B) Asking questions that suggest a desired answer
   • C) Asking questions in a specific order
   • D) Asking questions that are irrelevant
3. Why is it important to protect the privacy of respondents when collecting data?
   • A) To make the data easier to analyze
   • B) To comply with legal requirements and ethical standards
   • C) To increase the response rate
   • D) To reduce the cost of data collection
4. What is 'informed consent' in the context of data collection?
   • A) Getting permission from a supervisor to collect data
   • B) Informing respondents about the purpose of the study and obtaining their agreement to participate
   • C) Using only publicly available data
   • D) Guaranteeing anonymity to the respondents
5. Which of the following is an example of a biased question?
   • A) 'What is your age?'
   • B) 'Do you agree that this amazing product is the best on the market?'
   • C) 'What are your hobbies?'
   • D) 'How many hours do you work per week?'
6. Why is transparency important when collecting data?
   • A) To make the data look more impressive
   • B) To build trust with respondents and ensure ethical practices
   • C) To avoid having to get informed consent
   • D) To speed up the data collection process
7. What should you do with the data after you've collected it?
   • A) Sell it to the highest bidder
   • B) Use it in a way that respects the privacy and confidentiality of respondents
   • C) Publish it without any safeguards
   • D) Discard it immediately