In an experiment there are two variables; the independent variable (IV) and the dependent variable (DV). In the most basic sense, you need two variables because as a researcher, you want to be able to examine if something (a drug, a therapy, a teaching technique, whatever) has an effect on some participant (person, people, animals, etc. In analysis, researchers usually want to explain why the dependent variable has a given value. The dependent variable is the variable that is measured by the experimenter.
It is this variable that we, as the researchers, look at for change. The dependent variable is the condition that you measure in an experiment. As another example, researcher Susan Knasko was interested in how different odours affect people’s behaviour (Knasko, 1992). This material may not be reprinted or copied for any reason without the express written consent of AlleyDog.com. The independent variable is one that the researchers either manipulate (such as the amount of something) or that already exists but is not dependent upon other variables (such as the age of the participants). As you are learning to identify the dependent variables in an experiment, it can be helpful to look at examples. Dependent Variable . In the most basic sense, you need two variables because as a researcher, you want to be able to examine if something (a drug, a therapy, a teaching technique, whatever) has an effect on some participant (person, people, animals, etc.). The ultimate here is to establish that the IV caused the change in the DV (this is the magical "cause-effect" relationship). For example, in an experiment on the impact of sleep deprivation on test performance, sleep deprivation would be the independent variable. You are assessing how it responds to a change in the independent variable, so you can think of it as depending on the independent variable. Often a researcher wants to know how an independent variable affects several distinct dependent variables. The test scores vary based on the amount of studying prior to the test…
Researchers are interested in investigating the effects of the independent variable on other variables, which are known as dependent variables (DV). In our previous example, the scores on the test performance measure would be the dependent variable. All material within this site is the property of AlleyDog.com. In this example, the amount of studying would be the independent variable and the test scores would be the dependent variable. The dependent variable is the variable being tested and measured in an experiment, and is 'dependent' on the independent variable.
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