Correlations Flashcards

1
Q

Correlations

A

Correlations are a technique for analysing the strength of the relationship between two quantitative variables, known as co-variables. The data for a correlation is usually obtained from a non experimental source, such as a survey.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Analysis of correlation will show one of three things

A

Positive correlation
Negative correlation
No correlation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Positive correlation

A

A Positive correlation means that as one variable increases the other variable increases as well.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Negative correlation

A

A negative correlation means that as one variable increases the other variable decreases.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

No correlation

A

There is no relationships between the two variables at all.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Rules of correlation

A

The strength of a correlation can be between -1 and 1. Zero means that there is no correlation. -1 means that there is a strong negative correlation. +1 means that there is a strong positive correlation. The strength of the correlation is known as the correlation coefficient.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Advantages of correlations

A
  1. This technique does allow psychologists to establish the strength of the relationship between two variables and measure it precisely.
  2. This technique also allows researchers to investigate things that could not be manipulated experimentally for ethical or practical reasons.
  3. Once a correlation has been conducted predictions can be made about one of the variables based on what is known about the other variable.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Disadvantages of correlations

A
  1. Correlational analysis cannot demonstrate cause and effect; we cannot tell which variable influences the other.
  2. Even if there is a correlation between two variables it may be the case that the variables are not actually related but that there is a third unknown variable which influences both (confounding variable)
  3. Correlations can only measure linear relationships and does not detect curvilinear relationships. This is when there is a positive relationship up to a certain point but after that the relationship becomes negative or vice versa.
How well did you know this?
1
Not at all
2
3
4
5
Perfectly