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Experiment Design 2: Validity

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

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  1. Experiment Design 2:Validity Martin Ch 2

  2. Demonstration: how to design a bad experiment • How can we measure intelligence?

  3. 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)

  4. Statistical Validity • Run any inferential statistics? • Run appropriate inferential statistics? • Assumptions of tests are met? • Normality • Homogeneity of variance • Independence of variance

  5. 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)

  6. 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!)

  7. External validity • Experiment versus real life: • Participants • Tasks • Situations • Tradeoffs between internal + external validity

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