For example, finding that wealth correlates highly with education, does not explain whether having wealth leads to more education or whether education leads to more wealth. A correlative finding does not reveal which variable influences the other. One of the main advantages of correlational research is that it is quick and easy to conduct. For example, although depression and self-esteem are two variables that are significantly correlated to each other we can not say that low self-esteem causes. In this section, correlational studies' advantages and disadvantages are critically reviewed. Correlational Study Advantages and Disadvantages Psychology. There is a negative correlation between the row that a student sits in in a. An Example of a scatterplot showing a negative correlation. Correlation research only uncovers a relationship, it can not provide a conclusive reason for why there is a relationship. An interesting example of a case study in clinical psychology is described.It allows researchers to determine the strength and direction of a relationship so that later studies can be narrow the findings down and if possible determine causation experimentally.It opens up a great deal of further research to other scholars.Correlational research allows researchers to collect much more data than experiments.Advantages and Disadvantages of Correlational Research Advantages: This means an increase in money does not lead to happiness. If you have a correlation coefficient of 1, all of the rankings for each variable match up for every data pair. sum of the squared differences between x- and y-variable ranks. For example, being a millionaire and happiness are not correlated. the difference between the x-variable rank and the y-variable rank for each pair of data. This means a change in one variable may not necessarily see a change in the other variable. No correlation means two variables are not correlated to each other.
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