Correlation- research methods Flashcards
Define correlation
Correlation studies investigates whether there are relationships between different co-variables
Co-variables
so called because they are measured and compared to see how they co-vary in relation to each other
Positive correlation
This is when there is a relationship between two variables and when one co-variable increases so does another e.g. You would expect a
positive correlation between
how tall people are and their
arm length
Negative correlation
This is when there is a relationship but when one co-variable increases the other decreases e.g. It would be expected that an increase in the
number of maths lessons
missed would relate to a
lower score on a maths test
No correlation
There is no trend or relationship between two Co-variables. e.g. You wouldn’t expect to find any relationship between how many keys you own and your score on an IQ test
Operationalising variables
How you would make the co-variables measurable and testable
Alternative hypothesis for correlations
A prediction that there will be a statistically significant relationship between the co-variables
Two tailed hypothesis for correlation
Does not indicate a direction. There will be a significant correlation or relationship between co-variables y and z
One tailed hypothesis for correlation
This indicates the DIRECTION the results are expected to go in.
There will be a significant positive correlation between co-variables x and y. There will be a significant negative correlation between co-variables x and y
Null hypothesis for correlation
This indicates that there will be no correlation. For example, There will be no significant correlation between co-variables x and y. Any relationship is due to chance.
A research question
is a question related to what you are interested in finding out (must have a ?)
A research aim
is a statement about the purpose of the study
What level of data is used in correlation
The data you collect has to be quantitative and at least at ordinal level therefore, no open questions (this will give you qualitative data), no closed questions (this will give you nominal data).
What information do you need to find from participants
You need to find two sets of information for the same participants. You then compare this information to see if there is a relationship.
Correlation co-efficient
This is somewhere between -1 and +1
- a correlation that has a plus sign as part of it’s correlation co-efficient is a positive correlation
- A correlation that has a minus sign as part of it correlation co-efficient is a negative correlation
- A correlation with a co-efficient around zero represent no correlation