SPRING Power ethics and research design Flashcards
what is power
way of ensuring that the experiment is likely to find the effect we are looking for
avoid type 2 errors - increase chance of finding an effect if there is one
what is power related to
effect size
no participants
significance criterion
how is effect size related to power
large effect = greater power
how is no. participants related to power
more pps = more power
more likely to identify an effect than if too small or no actual effect
how is sig criteria (p/alpha) related to power
larger p = more power
likelihood that the results are due to chance
means being more conservative
also depends on if one or two tailed
what is acceptable for power
0.8+
80% of finding effect if there is one (20% type 2)
es criteria for cohens d/n2
comparing two means/ANOVA
large = 0.8, med = 0.5, small = 0.2
es criteria for pearsons r/omega
correlation/association
large = 0.5 , med = 0.3 , small = 0.1
ed criteria for cohens f2
multiple regression
large = 0.35, med = 0.15, small=0.02
research process
problem - hyp - design - measure - collect - analyise - generalise - prob
3 BPS ethics policies
code of conduct
human research ethics
guidelines for internet mediated research
BPS code of conduct
respect
responsibility
competence
integrity
BPS respect
general respect
confidentiality
informed consent
right to withdraw
BPS responsibility
protection of pps
debreif
BPS competence
measure what want to measure