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Experiment Design 2: Validity

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# Experiment Design 2: Validity - PowerPoint PPT Presentation

Experiment Design 2: Validity. Martin Ch 2. Demonstration: how to design a bad experiment. How can we measure intelligence?. Conclusion validity. Statistical Appropriate statistics? Internal Really the cause? Construct (Measure) Measure what it is supposed to measure? External

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### Experiment Design 2:Validity

Martin Ch 2

Demonstration: how to design a bad experiment
• How can we measure intelligence?
Conclusion validity
• Statistical
• Appropriate statistics?
• Internal
• Really the cause?
• Construct (Measure)
• Measure what it is supposed to measure?
• External
• Will it generalize? (e.g., sampling)
Statistical Validity
• Run any inferential statistics?
• Run appropriate inferential statistics?
• Assumptions of tests are met?
• Normality
• Homogeneity of variance
• Independence of variance
Threats to internal validity
• Participant variables
• History (different past experiences)
• Maturation (more past experiences)
• Self-selection differences
• Mortality (some participants disappear)
• Selection process artifacts
• Testing (determining group changes them)
• Statistical regression (just different by chance the first time)
Construct (measure) validity
• Face
• Sounds plausible on the face of it?
• Content
• Content details seem appropriate?
• Predictive
• Predicts things that it should predict?
• Concurrent
• Correlated with things that should be related? (but not too highly!)
External validity
• Experiment versus real life:
• Participants
• Tasks
• Situations
• Tradeoffs between internal + external validity