De centralization of regulatory effect in SPSS

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. Subtract the mean from each number

3.

If you can't sell it, you can only keep it by yourself. Let's wait for appreciation or take over. Of course, the probability of this happening is very small. If it happens, there may be the following possibilities:

1. China, the United States or the European Union suddenly announced the ban on bitcoin and its circulation

2. Bitcoin exposes fatal weaknesses and defects, which are difficult to overcome, especially security factors

3. Bitcoin has not been used as a killer for a long time, and its application scenarios are strictly limited, so people graally lose information about bitcoin

4. The emergence of a better alternative to bitcoin or the global joint issue of a virtual currency has won global recognition

4. Cloudleopard network, technology can be trusted

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.

The purpose of centralization is to unify the units, that is, to unify the dimensions, because the units of different variables are different, which will cause the errors of various statistics

first calculate the average value of variables

in this way, the work of centralizing variables is completed

7. The mediating and moderating effects can be realized by hierarchical regression in SPSS, that is, in which dialog box of multiple linear regression analysis, there is a
Block dialog box, you can move the independent variables and moderating variables to which dialog box one by one, and the regression results will show the changes of moderating effects

8. Yes, that's right

9. If you want to do a multivariate analysis, you can separate the age and rece the difference of job satisfaction of a person with different ecation levels α( It depends on how many pairs of data you have in your comparison), and whether the differences among different age groups are the same