The importance between dependent and independent variables.
The importance of dependent and independent variables is that they guide the researchers to per sue their studies with maximum curiosity. Dependent and independent variables are important because they drive the research process. As defined earlier, a variable as opposed to a constant is simply anything that can vary and that many researchers consistently look at the relationship between these two variables. While the variation of an independent variable will influence the variation of dependent variable, both variables give the study a focus. If we were to study the effects of work experience on college performance, we might look at the grades of students who have worked prior to starting college and the grades of students who did not work prior to starting college. In this study, you may notice that both groups are students so student status remains constant between the two groups. You may also notice that work experience is not the same between the two groups, therefore work experience varies and is considered a variable. If we choose students for each group who are of similar age or similar background, we are holding these aspects constant and therefore, they too will not vary within our study. Dependent and independent variables are also important because they determine the cause and effects in research.
Answer:
variable in research simply refers to a person, place, thing, or phenomenon that you are trying to measure in some way. The best way to understand the difference between a dependent and independent variable is that the meaning of each is implied by what the words tell us about the variable you are using
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