Contents
What is it called when two variables affect each other?
Association between two variables means the values of one variable relate in some way to the values of the other. Association is usually measured by correlation for two continuous variables and by cross tabulation and a Chi-square test for two categorical variables.
Can you correlate two dependent variables?
Yes, this is possible and I have heard it termed as joint regression or multivariate regression. In essence you would have 2 (or more) dependent variables, and examine the relationships between independent variables and the dependent variables, plus the relationship between the 2 dependent variables.
Can two variables be combined?
Yes. you can combine the variables and test the relationship. the combination comes in the form of x1 multiplied by x2 etc. If you are doing regression, which is always linear in its basic form, you need to calculate a new variable called x1*x2 and take it as one single variable.
How do you determine the relationship between independent and dependent variables?
The variables in a study of a cause-and-effect relationship are called the independent and dependent variables.
- The independent variable is the cause. Its value is independent of other variables in your study.
- The dependent variable is the effect. Its value depends on changes in the independent variable.
When is there an interaction between two independent variables?
There is one main effect for each independent variable. There is an interaction between two independent variables when the effect of one depends on the level of the other. Some of the most interesting research questions and results in psychology are specifically about interactions.
Two variables are positively associated when larger values of one tend to be accompanied by larger values of the other. The variables are negatively associated when larger values of one tend to be accompanied by smaller values of the other (Moore 208).
How to choose an appropriate statistical test for two dependent variables?
This table is designed to help you choose an appropriate statistical test for data with two or more dependent variables. Hover your mouse over the test name (in the Test column) to see its description. The Methodology column contains links to resources with more information about the test.
Which is the best method for using multiple independent variables?
As we will see, interactions are often among the most interesting results in psychological research. By far the most common approach to including multiple independent variables in an experiment is the factorial design. In a