Other questions in this quiz

2. What is the file drawer problem?

  • 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
  • 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

3. What is the Texas Sharpshooter Fallacy?

  • 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

4. What is a reason for paying more attention to EFFECT SIZES over p values?

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

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

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

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