1. 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
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Other questions in this quiz
2. Who was found guilty of fraud?
- Henry Sidgwick
3. Who founded the Parapsychology Lab at Duke?
- American Association for the Advancement of Science
- Henry Sedgewick
4. What is the file drawer problem?
- 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
- A post hoc definition of success. Not defining predictions before the experiment
5. In the Princeton Engineering Anomalies Research (PEAR), why is RNG necessary for ESP work?
- Because computers can only generate pseudo-random numbers
- Because the numbers need to be manipulable and controlled
- To eliminate experimentor bias