Distinguish between nuances of evidence quality, such as accuracy, precision, reliability, and validity.
Introduction to words describing the quality of data and evidence.
When you read a news article or look at an experiment's results, how do you know you can trust it? We often use simple words like "correct," "trusted," or "fair." But in academic writing and science, we need a sharper toolkit.
Let's break down the precise vocabulary used to evaluate the quality of evidence.
Visual analogy for accuracy vs. precision.
Accuracy is hitting the bullseye. Precision is hitting the exact same spot repeatedly.
Comparison card for evidence quality terms.
Identify the specific quality issue in given scenarios.
A teacher wants to measure how well students understand Physics, but accidentally writes the test questions using extremely complicated vocabulary that students haven't learned yet. Many students fail because they don't understand the words. What does this test lack?
Sort scenarios by their specific quality attribute.
Terms
Definitions
AI-evaluated explanation of evidence reliability.
Imagine you have a thermometer that is slightly broken. Every time you measure boiling water (which should be 100°C), the thermometer reads exactly 102°C. Explain the difference between reliable and accurate using this thermometer as an example.
Focus on what happens when you use it multiple times.
Explain how the reading compares to reality.
Nuance distinction between accurate and reliable.