How to decentralize interaction items

1. According to Hou Jietai: the so-called centralization refers to subtracting the mean value of a variable from its expected value. For sample data, each observation value of a variable is subtracted from the sample average value of the variable, and the transformed variable is centralized
for your question, subtract the mean from each measurement.

2. Not necessarily, centralization is only for the convenience of explanation, and does not affect the regression coefficients Central treatment of regulatory effect of South Heart Network

3.

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5. Suppose that CA is obtained by centralizing A. when CA is negative, it means that the value is less than the mean value. When CA is positive, it means that the value is greater than the mean value. In short, negative values also make sense.

6. Centralization means subtracting the average

7. This is used to analyze the regulatory effect.
after centralizing the independent variable and the regulatory variable, the interaction term can be obtained by multiplying them.

8. This is used for the analysis of regulatory effect. After centralizing the independent variable and the regulatory variable, the interaction term can be obtained by multiplying them Regression analysis of the regulatory effect of SPSS in the southern atrium

9. This is used for the analysis of regulatory effect. After centralizing the independent variable and the regulatory variable, the interaction term can be obtained by multiplying them Regression analysis of the regulatory effect of SPSS in the southern atrium