Data Interpretation and Critical Thinking
Thinking Critically with Evidence
Reading Social Data
Social data often come in tables, graphs, case studies, or mixed-method reports. Interpreting them well means checking definitions, sample size, time frame, and whether the evidence actually supports the conclusion.
Checklist
Ask what was measured, who was included, what comparison was made, and what alternative explanations remain.
Common Reasoning Errors
Strong vs Weak Claims
Stronger Claim
- Based on clear evidence
- Defines terms precisely
- Considers limitations
Weaker Claim
- Uses vague language
- Ignores counterevidence
- Overstates what the data show
What is selection bias?
Selection bias occurs when the sample is systematically unrepresentative.
Correct answer: A sample that does not represent the population well
Why should you be careful about overgeneralizing from one study?
One study may not represent all people or situations.
Correct answer: Because the sample, context, or method may not apply broadly.
Evaluate a Social Science Claim
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Step 1: Identify the claim and its scope.
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Step 2: Inspect the evidence and method.
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Step 3: Check for bias, missing context, or weak sampling.
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Step 4: Compare with other credible sources or data.
Which mistake is described by applying a group trend to every individual?
An ecological fallacy occurs when group patterns are incorrectly assigned to individuals.
Correct answer: Ecological fallacy
Give one question to ask when reading a chart or graph.
Critical reading starts with source, scale, and definition checks.
Correct answer: Any valid check such as 'What is the source?' or 'How was it measured?'