TB10 P&C Lecture 4; Extraclassical perception

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  • Created by: mint75
  • Created on: 24-05-16 13:23

1. What is the issue with multiple comparisons?

  • If you do lots of tests on a single dataset/multiple studies some will be signif only by chance. e.g probability of getting a posi result x 13 experiments...likely that one will be significant
  • A post hoc definition of success. Not defining predictions before the experiment
  • Bad data are not included in the study and people being reluctant to publish negative results/replications
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Other questions in this quiz

2. Which of these is NOT a general flaw in PSI experiments?

  • File Drawer Problem
  • Multiple comparison
  • Fraud
  • Texas Sharpshooter Fallacy
  • Post-hoc statistical tests
  • Planned contrast statistical tests
  • Stopping criteria

3. Why was PEARs result highly significant?

  • Experimentor bias manipulated the results to make the effect larger than it was
  • Although the result was significant, the experiment was done under uncontrolled conditions and so is not generalisable to the general population
  • Significant was high because n was high, not because of a large effect. Effect driven by a few in thousand events.
  • Significant was high because n was small, not because of a large effect. Effect driven by a few in thousand events.

4. Which of these was NOT an issue with Bem et al (2011)?

  • All results near threshold
  • Correlational measures
  • Data peeking and file drawer problem
  • Unequal variances
  • Eneven sample sizes
  • 1 tail t-tests

5. What is a reason for paying more attention to P VALUES over effect sizes?

  • If you have controlled your experiment even small effects are interesting
  • Because small experimental biases can give rise to a high p if n is high, not a'real result'


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