Data Collection and Ethics

Name:

Date:

📊 Part 1: Planning Data Collection

1. You want to investigate: "Do Year 11 students prefer online or in-person learning?" Circle the BEST population to survey:

All students at your school

Only Year 11 students at your school

Teachers at your school

Year 11 students across New Zealand

2. For the investigation above, what is the main variable you need to measure?

3. Which sample size would give you MORE reliable results about Year 11 student preferences?

10 students

50 students

150 students

4. Before collecting data from students, which ethical steps should you take? (Tick all that apply)

Get informed consent from participants

Explain how the data will be used

Share students' names with other schools

Keep individual responses confidential

🔍 Part 2: Data Quality and Ethics

5. Two researchers ask the same question but get different results. What could cause this problem?

Researcher A asks: "How tall are you in centimetres?"

Researcher B asks: "How tall are you?"

6. In New Zealand, we treat data as taonga (treasure). What does this mean for how we handle data?

Data can be shared with anyone

Data should be treated with respect and care

Data belongs to the researchers only

Data doesn't need to be protected

7. You find a secondary dataset about "NZ teenager screen time". The original study surveyed 500 students from Auckland schools in 2023. List TWO limitations of using this data to understand ALL NZ teenagers:

Limitation 1: _________________________________________________

Limitation 2: _________________________________________________

8. Explain in your own words why a larger sample size generally gives more reliable results:

💭 Part 3: Design Your Investigation

9. Choose your own investigative question about students at your school. Write a brief data collection plan including:

My investigative question:

WHO I will survey (population/sample):

WHAT data I will collect (variables):

HOW I will collect it (method):

One ethical consideration I must address:

Data Collection and Ethics

Data Collection and Ethics

📊 Part 1: Planning Data Collection

🔍 Part 2: Data Quality and Ethics

💭 Part 3: Design Your Investigation

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