ANOVA independent two variables Flashcards
(11 cards)
p> .05 means
p<.05 means
retain
reject
Avoid type 1 error by…
making alpha level more conservative (smaller)
LOWER alpha = LOWER probability of type 1 error
BUT this decreases power, increases chance of type2
0.05
accepting that we will make a type 1 error 5% of the time
avoid type 2 errors by….
by making alpha less conservative
= larger
- beta
how to increase statistical power?
what is power?
power = chance of correctly rejecting a null hypothesis
power = 1- beta
1. increase the effect size
2. increase sample size
also reduces type 2
two-factor ANOVA is
simultaneous influence of two or more independent variables on a dependent variable
main effect vs interaction effect
main effect = variable A, B
interaction effect = A xB
how to calculate the Number of sample groups required:
number of levels of IV A, multiplied by number of levels of IV B
eg 2 chocolate (100g, 0g) x2 (puppies, no puppies) =4
with no significant interaction effect - slopes are the same…
you dont need to do post-hoc if 2 levels of IV
ANOVA assumptions with more than 1 IV:
between - same as between
repeated - same as repeated measures
Effect size ANOVA
- use n2partial for each effect/level when more than 1 IV
- proportion of variance explained by each effect after partialing out the others