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QRPs
research practices that produces bias results through p-hacking, HARKing, and selective reporting
p-hacking
reanalyzing data repeatedly until statistically significant results are found
HARKing
present exploratory findings as if they were predicted before
selective reporting
only reporting significant results
how do QRPs affect research findings
inflate type I errors/false positives
type I error
false positive, incorrectly rejecting null
importance of reporting effect sizes
show importance of result not just significance
confidence intervals
ranges that esimate where true value likely falls
power analysis
justify sample size and improves reliability
reducing QRPs
preregistration, transparency, proper reporting
preregistration
registering hypothesis and analysis plans before collecting data
importance of replication
ensures findings are reliable, no false positives
statistical power
probability of detecting real effect
low power study
findings are unreliable and may miss real effects
sample size and power
larger samples increase power
main purpose of preregistration
prevent p-hacking and HARKing
p value
probability of the data assuming null is true
reject null
p<0.05
limitation to p-value
do not indicate effect size or importance
should be reported alongside p-values
effect sizes and confidence intervals
example of p value limitations
marshmallow test didn’t replicate, weaker effects than originally thought
effect size
strength of relationship
factor analysis
identify underlying variables in data
t test
compare averages of two groups
ANOVA
compare averages for 3+ groups
WEIRD
western, educated, industrialized, rich, democratic
limitations to WEIRD
not representative to whole population, bias for money/personal interest
MTurk
online plateform to easily recruit participants
advantages of MTurk
large sample size, low cost, fast
limitations of MTurk
not representative sample, bias for participating
original marshmallow test claims
ability to delay gratification preducts future success
marshmallow replication
not strong effect, findings did not replicate
correlated to personality simularity
life satisfaction in couples
positivity bias
people imagine future events more positively than past events