However, let’s imagine that Sarah is also interested in learning if sleep deprivation impacts the driving abilities of men and women differently. If she were to only perform the experiment using these variables – the sleep deprivation being the independent variable and the performance on the driving test being the dependent variable – it would be an example of a simple experiment. By doing this, psychologists can see if making changes to the independent variable results in some type of change in the dependent variable.įor example, imagine that a researcher named Sarah wants to do an experiment looking at whether sleep deprivation has a negative impact on reaction times during a driving test. The dependent variable, on the other hand, is the variable that the researcher then measures. A Closer Look at Factorial DesignsĪs you may recall, the independent variable is the variable of interest that the experimenter will manipulate. But what happens if researchers want to look at the effects of multiple independent variables? This type of study that involve the manipulation of two or more variables is known as a factorial design. In the simplest psychology experiments, researchers look at how one independent variable affects one dependent variable.
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