Correlational Analysis • This is a technique for analysing data. • It measures the strength of the relationship between two quantitative variables.
• Positive correlation means that as one variable increases the other variable increases as well. • A negative correlation means that as one variable increases the other variable decreases.
• The strength of a correlation can be between -1 and 1. • 0 means that there is no correlation. • -1 means that there is a strong negative correlation. • 1 means that there is a strong positive correlation.
Advantages • This technique does allow psychologists to establish the strength of the relationship between two variables and measure it precisely.
• This technique also allows researchers to investigate things that could not be manipulated experimentally for ethical or practical reasons.
Disadvantages • Correlational analysis can not demonstrate cause and effect, we can not tell which variable influences the other. • It may be that a third unknown variable influences both.
• Correlation can only measure linear relationships and can not detect curvilinear relationships.
Ethical Issues • Data used in correlations is often collected without the people whose data it is being aware of it.
• Informed consent can not be obtained and a participant cannot ask for their data to not be used, which violates their right to withdraw. • In some cases this data may even have been given for confidential purposes.