ANOVA & Paired t-Test Exam 2 Flashcards
When would you use Independent groups t-test?
xContinuous variable compared across two discrete independent groups that are part of one variable
When would you use Analysis of variance (ANOVA)?
Continuous variable compared across three or more discrete independent groups that are part of one variable
When would you use Dependent groups (paired) t-test?
Continuous variable compared across matched measurements in two discrete dependent groups that are part of one variable
What are the assumptions that must be met for ANOVA?
- samples are random
- a person is only in one group (independent samples)
- there are independent observations within groups (one observation per person)
- data is normally distributed,
- variances are similar to one another
What are the assumptions that must be met for Dependent groups (paired) t-test?
- one group is measured twice (ex. baseline and post-treatment)
- there may be a correlation between those two values
t-statistic value
- As difference between the means increase, the value of t increases
- As variability increases (in the denominator; aka the more dispersion), the value of t decreases,
- as sample size increases, the value of t increases,
- as the correlation increases, the value of t increases
What is the F test?
measures if there is a difference between the group means
What is the null hypothesis for the F test?
there is no difference among group means
In a F-test, what is the degrees of freedom?
N-1
What is is n^2?
tells you what percentage of the variance that we see is explained by our one grouping variable
Planned comparison technique used in ANOVA
- Hypotheses specified before the analysis commences
* Typically involve all possible comparisons
Post-hoc comparison technique used in ANOVA
- Performed after some significant difference has been found via F test
- Tukey’s HSD (honest significance difference) test corrects for inflated alpha
- Further exploration of data after a significant effect has been found
- Typically involve two comparisons at a time