What do SPSS data centralization and decentralization mean

1.

Decentralization is a form of social relations and content proction formed in the development of the Internet. It is a new type of network content proction process relative to "centralization"

decentralizing is not to do without the center, but to let the nodes freely choose and decide the center. In short, centralization means that the center determines the node. The node must depend on the center, and the node cannot survive without the center. In a decentralized system, anyone is a node, and anyone can be a center. Any center is not permanent, but phased, and no center is mandatory for nodes

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from the perspective of Internet development, decentralization is the form of social relationship and content proction formed in the process of Internet development, and is a new type of network content proction process relative to "centralization"

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

with the diversification of network service forms, 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

after that, with the emergence of more simple and easy-to-use decentralized network services, the characteristics of Web2.0 become more and more obvious. For example, the birth of services more suitable for ordinary Internet users, such as twitter and Facebook, makes it easier and more diversified to proce or contribute content to the Internet, thus enhancing the enthusiasm of Internet users to participate in the contribution and recing the threshold of procing content. Eventually, every netizen becomes a tiny and independent information provider, making the Internet more flat and content proction more diversified

2.

With the deepening of the interaction between the subject and the object, the continuous balance of cognitive function and the continuous improvement of cognitive structure, the indivial can be released from the egocentric state, which Piaget called decentralization

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

3. In a system with many nodes, each node has a high degree of autonomy. Nodes can connect freely to each other 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 nonlinear causality through the network. This open, flat and equal system phenomenon or structure is called decentralization[ 2]
with the deepening of the interaction between subject and object, the continuous balance of cognitive function and the continuous improvement of cognitive structure, the indivial can be released from the egocentric state, which is called decentralization.

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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 so-called data centralization refers to the data in the data set minus the mean value of the data set
for example, if there are data sets 1, 2, 3, 6 and 3, and the mean value is 3, then the data set after centralization is 1-3,2-3,3-3,6-3,3-3, that is: - 2, - 1,0,3,0. The purpose of data centralization is to eliminate the influence of dimension on data structure, because the unit of different variables is not the same, which will cause various statistical errors.