Can the independent variable be multiple things?
Multiple Variables: It is possible to have experiments in which you have multiple variables. There may be more than one dependent variable and/or independent variable. This is especially true if you are conducting an experiment with multiple stages or sets of procedures.
Does the independent variable have to be the same?
Independent and dependent variables always go on the same places in a graph. This makes it easy for you to quickly see which variable is independent and which is dependent when looking at a graph or chart. The independent variable always goes on the x-axis, or the horizontal axis.
Can you have multiple outcome variables?
When multiple dependent variables are different measures of the same construct—especially if they are measured on the same scale—researchers have the option of combining them into a single measure of that construct. Researchers in psychology often include multiple dependent variables in their studies.
When there is more than one independent variable involves the regression is called?
When there are two or more independent variables, it is called multiple regression.
How are independent variables related to other variables?
The variable that depends on other factors that are measured. These variables are expected to change as a result of an experimental manipulation of the independent variable or variables. It is the presumed effect. The variable that is stable and unaffected by the other variables you are trying to measure.
How many levels of independent variable can you apply?
You can apply just two levels (e.g. the new medication and the placebo) in order to find out if the independent variable has an effect at all. You can also apply multiple levels (e.g. three different doses of the new medication) to find out how the independent variable affects the dependent variable.
When do you use explanatory and dependent variables?
Sometimes, the variable you think is the cause might not be fully independent – it might be influenced by other variables. In this case, one of these terms is more appropriate: Explanatory variables (they explain an event or outcome) Predictor variables (they can be used to predict the value of a dependent variable)
Why are multiple independent variables considered unfeasible?
Second, the number of participants required to populate all of these conditions (while maintaining a reasonable ability to detect a real underlying effect) can render the design unfeasible (for more information, see the discussion about the importance of adequate statistical power in Chapter 13).