Independent one-way ANOVA Flashcards
ANOVA
analysis of variance
one-way ANOVA
used when we have 1 IV with MORE than 2 levels
- estimates whether the population means under the different levels of IV are different
independent one-way ANOVA
between participants
relation to t test
squared t-test statistic = F (one way anova result) for an IV with 2 levels
Family wise error rate
the probability that at least one of a ‘family’ of comparisons, run on the same data, will result in a Type I error
…instead calculated a corrected significance level, expressing the probability of making a Type I error
c=comparisons
a= 0.05
what do omnibus test, such as ANOVA, do?
control family wise error rate
F statistic from one-way ANOVA
- F value close to zero, small variance between relative to within
and vice versa
sources of variance between IV levels for independent designs
- manipulation of IV
- individual differences
- experimental error (random/constant)
sources of variance within IV levels for independent designs
- individual differences
- experimental error (random)
assumptions for independent one way ANOVA
- normality
- homogeneity of variance
- equivalent sample size
- independence of observations
normality
the DV should be normally distributed under each level of IV
homogeneity of variance
the variance in the DV under each IV level should be equivalent
what if Levene’s statistic is significant
use Welch F statistic to correct this
- under Robust test of equality means in SPSS out-put
what test do we use if we greatly violate the assumptions of the one-way independent ANOVA test
Kruskal Wallis test
large value of F
manipulation of IV has had a large effect
SPSS output one-way independent ANOVA