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Correlation and causation

These questions are addressed to a specific study and database which I am not including in order to prevent the apperance of asking for assignment completion however it is worth mentioning that the study is one about job satisfaction and the variables involved are age, gender, tenure and department and the units of measure are overall, intrisinsic and extrinsic job satisfaction using a scale of 1 to 7.

1. Differentiate between correlation and causation.

2. What are the practical applications?

3. How would it be used in the workplace?

4. Briefly describe correlational research.

5. Name a study variable and one from the workplace that might prove to provide a correlational relationship and explain why.


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1. Differentiate between correlation and causation.
When two variables are correlated, that means there is a relationship between them. So, for example, we could say that tenure and job satisfaction are positively correlated, and we would know that as tenure increases, so does job satisfaction.
However, we would not be able to say whether increasing tenure causes the increase job satisfaction, or whether increasing job satisfaction causes the increase in tenure - ie. we cannot infer causation from the correlation.
Basically, a correlation means that there is a relationship between variables, and a causation means that changing one variable causes a change in the other variable.

2. What are the practical applications?
I assume here that you mean the practical applications of correlations. They are useful because we can study patterns of relationships between variables in the real world. Correlational studies do ...