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Research Methods and Techniques

Correlational research and correlation coefficients

  • 3 things to know
  • Component 01

Overview

Recall questions on how data is obtained for correlational analysis, co-variables, positive, negative and no correlation, scatter diagrams, interpreting correlation coefficients, the strengths and limitations of correlations, and the third-variable problem.

What you need to know

Answer each one before you reveal it.

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Key term

Why are the two measures in a correlation called co-variables rather than an IV and a DV?

Key term

Why might a correlational analysis miss a genuine relationship between two variables?

Key term

What is a correlation?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is a correlation?

    Model answer

    A relationship between two co-variables in which changes in one are associated with changes in the other.

  2. 2

    How is data obtained for a correlational analysis?

    Model answer

    Two measurements are taken from each participant, one on each co-variable, and the paired scores are then analysed for a relationship.

  3. 3

    Why are the two measures in a correlation called co-variables rather than an IV and a DV?

    Model answer

    Neither is manipulated by the researcher, so neither can be said to produce the change in the other.

  4. 4

    Describe a positive correlation.

    Model answer

    As the value of one co-variable increases, the value of the other tends to increase as well.

  5. 5

    Describe a negative correlation.

    Model answer

    As the value of one co-variable increases, the value of the other tends to decrease.

  6. 6

    What is meant by no correlation?

    Model answer

    There is no consistent relationship between the two co-variables, so changes in one are not systematically associated with changes in the other.

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