Mean value decentralization of 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. Yes, subtract the mean value of the cases corresponding to the project
and then use the data after centralization to do regression, instead of centralization and aggregation

3.

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

4. 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

5. 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.

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

analysis -- descriptive
statistics --- descriptive

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

Mu is the mean value and delta is the variance

8. How to use SPSS to average and dimensionless process data
in the menu of SPSS, select: analysis - description statistics - description. In the pop-up dialog box, there is a check box to show that the variable is saved as the standardized score. After checking, select the variable to be standardized into the right variable box, and then OK, you can get the standard score

9. You use exploratory factor analysis to get 8 factors, right? Then you ask for the correlation between factors and dimensions. There should be a correlation coefficient matrix. In factor analysis, the most commonly used one is covariance matrix and correlation coefficient matrix. What do you mean by an average of eight factors? Do you average eight data? Then the mean value was correlated with 8 factors. That is the correlation analysis of general dimension and sub dimension.

10. First of all, open a group of data, without data statistics...
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after data is opened or new force is created, you can start to find...
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after opening, you will see a window of average value, which is...
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according to the data opened in this experience, my setting is as follows
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then open the options to find the type to be compared, all...
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after all are set, directly click OK to get the mean value...
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the mean value obtained by the above operation and the comparison result are as follows