Why is SD the most powerful measure of dispersion?
It takes all scores into account
As a result, its often used by researchers who want to know more about the dispersion of their data
What does SD tell us?
How far scores deviate the mesn
(ie how consistent the data is)
What does a large SD mean?
A larger spread of data from the mean (more dispersed) so the pps were not affected by the IV in the same way- the data is LESS CONSISTENT and thus less reliable
What does a small SD mean?
The data is less spread from the mean (less dispersed) which implies that all pps responded in a FAIRLY SIMILAR WAY the data is more consistent and thus more reliable
how can SD be shown?
in a graph
2 positives of SD?
A more sophisticated + sensitive dispersion measure as all scores are used
Allows for easier interpretation of individual scores
give one positivie of SD?
A more sensitive and sophisticated dispersion measure as all scores are used in its calculation
give another positive of SD?
Allows for easier interpretation of individual scores
2 ccons of SD?
harder to calculate
can be hard to interpret
give one con of SD?
Harder to calculate
give another con of SD?
Harder to interpret if the data is not in a normal distribution curve