What does interaction mean in Stata?

Stata: Data Analysis and Statistical Software You can put a # between two variables to create an interaction–indicators for each combination of the categories of the variables. You can put ## instead to specify a full factorial of the variables—main effects for each variable and an interaction.

What are interaction terms in regression?

In regression, an interaction effect exists when the effect of an independent variable on a dependent variable changes, depending on the value(s) of one or more other independent variables.

What is an interaction term example?

For example, a three-way interaction has three variables in the term, such as Food*Condiment*X. In this case, the relationship between Satisfaction and Condiment depends on both Food and X.

What are interaction terms?

In summary: When there is an interaction term, the effect of one variable that forms the interaction depends on the level of the other variable in the interaction. Without an interaction term, the mean value for Females on Med B would have been α+β1 +β2.

What do interaction terms do?

Adding interaction terms to a regression model can greatly expand understanding of the relationships among the variables in the model and allows more hypotheses to be tested. Adding an interaction term to a model drastically changes the interpretation of all the coefficients.

Can you use or in Stata?

In Stata, these expressions use one or more various relational and logical operators. The operators ==, ~=, != The operators & | ~ and ! are used to indicate “and”, “or”, and “not”.

What is an interaction term?

An interaction term is a variable that represents an interaction between two variables. In some analyses, SPSS will create the interaction term for you, such as in a mixed-models ANOVA . In others, such as a moderation analysis, you may have to create an interaction term yourself.

What is interaction term in statistics?

In statistics, an interaction is a term in a statistical model in which the effect of two, or more, variables is not simply additive. If we were examining the effect of two variables, gender and premature birth, on health outcomes, we would describe any difference in health outcome scores between genders as a main effect.

What is interaction term in regression?

In regression, an interaction effect exists when the effect of an independent variable on a dependent variable changes, depending on the value(s) of one or more other independent variables. In a regression equation, an interaction effect is represented as the product of two or more independent variables.