Experiment design 2 validity
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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

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Experiment Design 2: Validity

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Experiment design 2 validity

Experiment Design 2:Validity

Martin Ch 2


Demonstration how to design a bad experiment

Demonstration: how to design a bad experiment

  • How can we measure intelligence?


Conclusion validity

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

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

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

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

External validity

  • Experiment versus real life:

    • Participants

    • Tasks

    • Situations

  • Tradeoffs between internal + external validity


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