Decentralizing multiple item variables

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.

De flow means that all social resources can be aggregated and distributed with one click

in a system with many nodes, each node has a high degree of autonomy. Nodes can connect with each other freely to form a new connection unit. Any node may become the stage center, but it does not have the mandatory central control function. The influence between nodes will form a nonlinear causal relationship through the network

This kind of open, flat and equal system phenomenon or structure is called decentralization

extended materials:

compared with the previous Internet (WEB 1.0) era, today's Internet (Web 2.0) content is no longer proced by professional websites or specific groups, but by the participation of the whole Internet users and the creation of equal power levels. Anyone can express their views on the Internet or create original content to proce information together

with the diversification of network service shape, the decentralized network model becomes more and more clear and possible. After the rise of Web2.0, the services provided by Wikipedia, Flickr, blogger and other network service providers are decentralized. Any participant can submit content, and Internet users can create or contribute content together

3. In fact, decentralization is equivalent to multi centralization. This is the characteristic of blockchain technology. Everyone has the right to participate. Now blockchain projects are very popular. There is a SMIC blockchain service platform project initiated by Changsha high tech Zone, which is now in the formal operation stage. It has also been selected as a key project of Hunan blockchain. The next step is to recruit enterprises to join the chain.

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

5. 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

6. 1. The dependent variable does not need to be centralized; 2. The first step is that the independent variable enters 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;

7. There are several methods, here are the two most commonly used, one is to subtract the average, one is the Z-score
subtract the average value: first perform a description statistics to get the descriptive statistical results, with the average and standard deviation. Then use the compute command to create a new variable = original variable average
the Z-score is similar to the above result, except that the new variable is divided by the standard deviation to get a score

the question is your description: a variable has multiple items. What does that mean? I can't think of it.

8. 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.

9. SPSS can be used to make a correlation matrix
it can also do the typical correlation between multivariable and multivariable, but this analysis seems to be out of date
it can also do regression analysis, but it can only do one independent variable at a time
it's better to use other software to do the structural model, use structural equation to do, what SPSS should not be able to do, you can use Amos, LISREL, Mplus and so on