Between subject T-test Flashcards
overview
Different ppt in every condition
-pro: no order effect
-con: less powerful-indiv differences
T -Test
How likely are we to obtain the difference between conditions if the null hypothesis is true?
- is variance between conditions larger than within
Assumptions-normality Testing
~ Shapiro-wilk Test
- normal distribution =not sig different from normal
- want value to be greater than 0.05
one sample T- Test intro
compare data from experiment with 1 single number
did ppts score higher than national avg
one sample T-test assumptions
independent data (between subject)
continuous dater (interval traction)
Normally distributed
one sample T-test reporting results
the mean spread of ppts was_. The data met assumptions of a one-sample t-test which revealed that _
Non parametric alternative for one sample T-Test
- If data violate assumptions
one sample Wilcoxon signed rank test
independent sample T -Test assumptions
independent data
Interval or ratio
N= 12 +
normally distributed
Homogeneity of variance
Independent T- Test Homogeneity of variance
Is variance in 1 condition similar to other
1) look at descriptive Stats
2)Are graphs a similar shape
3) Run Leven’s Test
Q-Q plot will fall on diagonal line
-Levene result p greater than 0.05
Independent T- Test reporting
- 1 I V with 2 levels
The mean was calculated for condition A + B . The data met the assumption which revealed that.
Independent Non parametric AIterative
- If fails homogeneity but passes everything else report results of t-test but from not assumed row
- Mann -Whitney U Test