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Answer :
The reason why a researcher might choose to mean center a variable is to make the interpretation of the regression coefficients easier.
What's the research about?
Dummy coding is a way of representing categorical variables in a regression model. A dummy variable is a variable that takes on only two values, usually 0 and 1.
To dummy code the variable "StressLevel", we would create three new variables:
StressLevel_Low = 1 if StressLevel = 1, 0 otherwise
StressLevel_Medium = 1 if StressLevel = 2, 0 otherwise
StressLevel_High = 1 if StressLevel = 3, 0 otherwise
This would allow us to include the effect of StressLevel in the regression model, even though it is a categorical variable.
The linear model that can be used to test this question is:
IntentToStay = b0 + b1 * MND_centered + b2 * UTI_centered + b3 * StressLevel_Low + b4 * StressLevel_Medium + b5 * StressLevel_High
where:
b0 is the intercept of the model
b1 is the coefficient for the variable MND_centered
b2 is the coefficient for the variable UTI_centered
b3 is the coefficient for the variable StressLevel_Low
b4 is the coefficient for the variable StressLevel_Medium
b5 is the coefficient for the variable StressLevel_High
The coefficients b1, b2, b3, b4, and b5 represent the estimated effects of each of the independent variables on the dependent variable.
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