correlations

• what are correlations

  • measure how strong a relationship is between two co-variables with no claim of a cause
• types of correlations

  -POSITIVE - as one variable increases so does the other

  -NEGATIVE - as one variable increases, the other decreases

  -ZERO - no relationship between variables
• correlation co-efficient

  • used to measure strength and nature (pos or neg) of the relationship
  • correlation co-effecient number represents the strength of the relationship between -1.0 and +1.0
  • nearer the number is to +1 or -1 the stronger the correlation
  • a perfect positiver correlation has a number of +1 and a perfect negative has -1
• scattergraph

  • shows correlation between 2 co-variables
  • indicates the degree and direction of the correlation
• evaluating correlational techniques

  +secondary data can be used which reduces the concern over formed consent as the information is already in the public e.g. government reports

  -not possible to establish cause and effect so researcher can't conclude one variable caused the other to increase or decreae