Correlations

Cards (19)

  • What can analyzing data for a correlation show?
    Potential relationships and their strength
  • What does the term "correlation coefficient" refer to?
    A numerical measure of correlation strength
  • How does a correlational study differ from an experimental study?
    Correlational studies do not manipulate variables
  • What are co-variables in a correlation?
    Variables that are measured and compared
  • Which variables could be compared in a correlation study?
    Age, IQ, and bank account balance
  • What is a scattergram used for?
    To display data collected in a correlation
  • How would you plot a correlation on a scattergraph?
    By plotting data pairs on X and Y axes
  • What does a positive correlation indicate?
    Both co-variables increase together
  • What does a negative correlation indicate?
    One co-variable increases while the other decreases
  • What does zero correlation mean?
    No relationship between the co-variables
  • What is the range of a correlation coefficient?
    -1 to 1
  • What does a correlation coefficient of 0.8 indicate?
    A strong correlation
  • What is a critical evaluation of correlation studies?
    Correlation does not imply causation
  • How might low attendance relate to exam performance?
    Low attendance may lead to poor performance
  • What is an example of a third variable affecting correlation?
    Temperature affecting ice cream sales and drowning
  • What is a positive evaluation of using correlations in research?
    They can highlight potential causal relationships
  • Why are correlational studies often ethically favorable?
    They measure pre-existing variables
  • What is the purpose of the correlation coefficient?
    To describe the strength of a correlation
  • What are the strengths and limitations of correlational studies?
    Strengths:
    • Highlight potential causal relationships
    • Few ethical problems with pre-existing variables
    • Useful correlation coefficient for strength

    Limitations:
    • Correlation does not imply causation
    • No control over extraneous variables