AQA A-Level Psychology 7182
Social Influence
Memory
Attachment
Approaches in Psychology
Biopsychology
Clinical Psychology and Mental Health
Research Methods
Scientific Processes
Quantitative and Qualitative Data
Data Handling and Analysis
Inferential Testing
Issues and Debates in Psychology
RelationshipsOption 1
GenderOption 1
Cognition and DevelopmentOption 1
SchizophreniaOption 2
Eating BehaviourOption 2
StressOption 2
AggressionOption 3
Forensic PsychologyOption 3
AddictionOption 3
Explanations for Nicotine AddictionOption 3
Data Handling and Analysis
Analysis and interpretation of correlation
- 4 things to know
- Paper 2
Overview
The correlation coefficient, how its strength is banded, why correlation does not establish cause, and why a real relationship can still show no straight-line correlation.
What you need to know
Answer each one before you reveal it.
How is the strength of a correlation banded numerically?
Why does a correlation not prove that one variable causes another?
Why can two related variables show no straight-line correlation?
Questions from this subtopic
Each one with the model answer underneath.
- 1
What is correlation in statistical terms?
Model answer
A statistical measure that describes the strength and direction of the relationship between two co-variables.
- 2
Define a correlation coefficient.
Model answer
A numerical value that quantifies the strength and direction of a correlation, ranging from -1 to +1.
- 3
What does a correlation coefficient of +1 indicate?
Model answer
A perfect positive correlation where both variables increase together in exact proportion.
- 4
What does a correlation coefficient of -1 indicate about the relationship between two variables?
Model answer
A perfect negative correlation where one variable increases as the other decreases in exact proportion.
- 5
What does a correlation coefficient of 0 indicate?
Model answer
No correlation between the two variables.
- 6
How does the proximity of a correlation coefficient to +1 or -1 relate to the strength of the relationship?
Model answer
Correlation coefficients closer to +1 or -1 indicate stronger relationships, while those closer to 0 indicate weaker relationships.
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