Lesson 4: Correlations Flashcards
1
Q
correlation coefficient
A
the strength of a correlation
2
Q
advantages of using correlations
A
- allows psychologists to establish the strength of the relationship between two variables more precisely
- predictions can be made about one variable based on what is known about another variable once a correlation has been established
- allows researchers to investigate things that could not be manipulated experimentally for ethical or practical reasons
3
Q
disadvantages of correlations
A
- correlational analysis cannot demonstrate cause and effect
- a correlation being present does not automatically mean there is a relationship between the two variables, there may be a third unknown variable which influences both
- can only measure linear relationships and does not detect curvilinear relationships; when there is a positive relationship up to a point, but after that the relationship becomes negative (or vice versa)
4
Q
differences between correlations and experiments
A
- an experiment isolates and manipulates the independent variable to observe its effects on the dependent variable, and controls the environment in order to eliminate extraneous variables
- experiments establish cause and effect
- a correlation looks for a relationship between two co-variables
- an experiment can predict cause and effect (causation) but a correlation can only predict a relationship, as a third, unknown extraneous variable may be involved