Correlations Flashcards
Differences between correlations and experiments
Experiment design:
- require manipulation [change ] of the IV and a measurement of the resulting change in the DV
Correlations study:
- no variables are manipulated, two co-variables are measured and compared to look for A relationship
Co variables
Two variable that are collected by the researcher and then compared
Scattergram
A graph used to plot the measurements of two co-variables [ scattergram visually display the relationship between co-variables J
Positive correlation
As one co-variable increase the other co-variable increase
Negative correlation
As one co-variable increases the other co-variable decreases
Zero correlation
No correlation between the variables
Correlation coefficient
. Represents both the strength and direction of the relations ship between the co- variables as a number between -1 and +1
Correlation coefficient calculated:
- Statistical test e.g. Spearman’s RHO or persons
Correlation evaluation [ weakness ]AO3
- Correlation does not show causation [strong correlation = relationship exist between co-variables
However doesn’t snow which co - variable led to the change in one other and may be an unknown third variable that have effected the co-variable
Correlations evaluations strengths [A03]
-Fewer ethical issues as covariable data already exists and easily accessible
- correlation coefficient is a good tool in describing both the direction and strengths of relationships between variables