What is an intervening variable?

An intervening variable, often referred to as a mediator, is important in research because it helps to explain the relationship between an independent variable and a dependent variable. This type of variable comes into play after the independent variable has been manipulated, and it may influence the outcome of the dependent variable.

In this context, when the independent variable is acted upon, the intervening variable accounts for some of the effect that this manipulation has on the dependent variable. For instance, if researchers find that increased exercise (independent variable) leads to weight loss (dependent variable), an intervening variable could be "metabolic rate," which can change in response to exercise and thus contributes to weight loss.

This understanding is crucial for social workers and researchers as it highlights the complexity of social phenomena and the need to consider various factors that can influence outcomes. Identifying intervening variables allows for a more nuanced interpretation of how and why certain relationships exist within social research.

On the other hand, the other choices present misunderstandings of the concept. A variable that precedes both dependent and independent variables is typically termed a confounding variable, while one that interacts with the dependent variable before manipulation does not accurately capture the essence of an intervening variable. Lastly, a variable that shows no