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AQA Psychology - Research Methods - Correlations

Psychology9 CardsCreated about 1 month ago

A correlation is an association that shows the strength and direction of a relationship between two co-variables. It indicates whether, and how strongly, the variables are related — but not whether one causes the other.

What is a correlation?

An association illustrating the strengths and direction between to co-variables

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Key Terms

Term
Definition

What is a correlation?

An association illustrating the strengths and direction between to co-variables

What is a scattergram?

Plotting a correlation on to a scattergram
-One co-variable on x-axis other on y-axis

What are the three types of correlation?

  • Positive correlation

  • Negative correlation

  • Zero correlation

What is a positive correlation?

Co-variables rise or fall together

What is a negative correlation?

Co-variables rise and the other falls

What is a zero correlation?

No relationship between the two variables

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TermDefinition

What is a correlation?

An association illustrating the strengths and direction between to co-variables

What is a scattergram?

Plotting a correlation on to a scattergram
-One co-variable on x-axis other on y-axis

What are the three types of correlation?

  • Positive correlation

  • Negative correlation

  • Zero correlation

What is a positive correlation?

Co-variables rise or fall together

What is a negative correlation?

Co-variables rise and the other falls

What is a zero correlation?

No relationship between the two variables

What are the differences between experiments and correlations?

  • Experiment = manipulates IV and record DV

  • Correlation = no manipulation so no cause and effect

  • Experiment = controls extraneous variables

  • Correlation = Does not control extraneous variables (maybe a third variable)

Strength of correlation:

  • Can suggest a future hypothesis

- Economical = less time consuming (don’t have to control the environment)

Limitation of correlation:

  • No cause and effect = intervening variable that explains the relationship

  • Methods may be flawed in measuring the of variables = low in reliability