Correlation
- Created by: tarin_jannah
- Created on: 30-01-20 20:34
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- Correlation
- Looks for a relationship between co-variables
- Researcher analyses data by doing this but data can be gained by a range of research methods
- When co-variables plotted on a scatter diagram, the change when examined together tells us the nature of relationship
- Positive Correlation
- When a co-variable increases as the other co-variable increases
- On a scatter graph, the line goes up
- For example, the co-variable "time spent revising" and the co-variable "grade percentage" show a positive correlation
- Negative Correlation
- When a co-variable increases, the other decreases
- For example, the co-variable "time on media" and "grade percentage" have a negative correlation
- Zero Correlation
- When the change in a co-variable has no impact on the other
- For example, the co-variable "writing with a blue pen" has no impact on "percentage grade"
- Positive Correlation
- Strengths and Weaknesses
- Cheaper and less time-consuming than experimental research
- Useful to study difficult topics for ethical reasons
- Cause and effect not established
- Looks for a relationship between co-variables
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