WEEK 1 Flashcards
(23 cards)
hypothetic-deductive method
theory, hypothesis, test data
two source research ideas
- casual observation
- previous research
what do surveys do
variables as they naturally occur
what do experiments do
manipulate variables to test casual relationships
types of experimental designs
- between
- within
- mixed
what is a test statistic
variance to unexplained variance
systematic variance
variation explained by model
directional hypothesis
prediction of direction of effect
what is p<0.50
result is statistically significant
type 1 error
false positive, claiming there is an effect when there isn’t one
type 2 error
false negative, missing an effect
what is effect size
magnitude of observed effect
why is effect size important
shows how meaningful the effect size is
power analysis
sample size, reduces type 2 errors
acceptable power level
0.80
cohends d
small= 0.20
medium= 0.50
large= 0.80
Pearsons r
small= 0.10
medium= 0.30
large= 0.50
formula for mean
sum of data / no. participants
parametric assumptions
normal distributions, equal variance, ratio data
non-parametric assumptions
ordinal data or violated assumptions
open science
making research steps openly accessible
pre-registration
registering study
replication crisis
failing to produce same results
