Decentralization of SPSS data analysis

1. Centralization is to subtract the mean and Z-score is to divide it by the standard deviation. Both of them are centralization methods.

2. In fact, when describing statistics, check the Save option to get a standardized variable. The space is limited. You can take a look at this tutorial. http://jingyan..com/article/9f7e7ec04ee5c56f28155416.html

3. The factor is obtained by factor analysis, which is done in data reconciliation factor

4. The more troublesome
needs to understand the theory

5. 1. The mediating effect analysis does not need data centralization and standardization
2. Forced centralization or centralization, only the non standardization coefficient is different, the standardization system is the same

(provided by Nanxin)

6. Standardize the data, find out the mean and variance
analysis description statistics description, and then select "save standardized score as a variable" and confirm to get the processed standardized data, and then cluster, factor and regression analysis can be carried out

7. 1. The dependent variable does not need to be centralized
2. The first step is for the independent variables to enter the regression equation; The second step is that independent variables and regulatory variables enter together; The third step is that the independent variable, regulatory variable and interaction item enter together
3. The adjustment variables were divided into high and low groups, and the regression analysis of independent variables and dependent variables was done. Then the influence coefficient of high and low groups of independent variables on dependent variables was compared, and the slope test was carried out

8. Correlation analysis uses raw data

9. Why watch it? After data centralization, the mean value should be 0 and the standard deviation should be 1

analysis -- descriptive
statistics --- descriptive

10. The common Standardization (x-mu) / sqrt (delta)
centralization (x-mu)

Mu is the mean value and delta is the variance