Research Methodology
Research Methodology
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Topic 3.1 of Data Collection and Analysis Methods
The difference between data you collect yourself and data someone else collected first, and why a secondary dataset's original labels deserve scrutiny before you trust them for a new question.
By the end of this topic, you will
Quadrant 1 · e-Tutorial
EZ Bytes · quick recaps
Primary vs Secondary Data | The Research Choice That Changes Everything
51s
Video lessons
Quadrant 2 · e-Content
Quadrant 3 · Web Resources
Quadrant 4 · Self-Assessment
Data Collection and Analysis Methods
Twenty questions on primary vs secondary data, instrument validity and reliability, sampling techniques, hypothesis testing, scales of measurement, and statistical test selection.
Research Methodology: Complete Assessment
Comprehensive 100-question assessment covering all five chapters of the Research Methodology eBook 2026.
Quadrant 5 · Play
Ungraded practice for Primary and Secondary Data: games and hands-on Skill Labs that use this topic, plus the crossword for Data Collection and Analysis Methods. It never affects your unit assessment, and clearing a game or lab for the first time earns EZ Board points when you are signed in.
Lab
The Penguin Paradox: Real Data, Real Statistics
15 tasks from this unit. Free to play. Earn 30 EZ Board points on your first clear.
Crossword
Data Collection and Analysis Methods
10 key terms from this unit. Free to play.
Race
Data Drive
6 checkpoints from this unit. Free to play. Earn 30 EZ Board points on your first clear.
Discussion · 0 comments
This is the discussion thread for the lesson "Primary and Secondary Data" (Research Methodology, Unit 3). Ask questions, share real-world examples, and help classmates who are stuck. Conversation starters. Try explaining one of these in your own words: - Distinguish primary data from secondary data with a security research example - List where security research data typically comes from, primary and secondary - Explain why a reused dataset's original labelling scheme needs to be checked before trusting it for a new study
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