wk7 Flashcards
between subjects t-test
one dv
one iv
two groups of participants tested once
independent t-test assumptions
- normally distributed data for both groups
- homogenity of variance across the groups (variances should be similar)
- Data should be either interval or ratio
Systematic variation
The variation that can be explained by our manipulation
unsystematic variation
Variation that cannot be explained by our manipulation
Test statistic equation
systematic variation / unsystematic variation = effect/error
To calculate an independent t-test
1) calculate descriptive statistics
2) identify whether the data meets the assumptions of parametric statistics
3) calculate the T value
4) identify whether the result is significant
5) reject or fail to reject the null hypothesis
homogeneity of variance
divide s.d by each other. if value is less than four we have achieved homogeneity of variance.
degrees of freedom
The number of individual scores that can vary without changing the sample mean
degrees of freedom calculation for independent T test
(n1-1)+(n2-1)
critical values table for independent t-test
if the T value is greater than that included in your critical table your result is significant
paired t-test
one dv
one iv (2conditions)
one group tested twice
calculate paired t-test
1) calculate the descriptive statistics
2) identify whether the data meets the parametric assumptions
3) calculate the T value
4) identify whether there is significant
5) reject or fail to reject the null hypothesis