1 Enter data.

2: 00 Analyze the drop-down menu and select the factor under data simplification.

3 After opening factor analysis, select data variables one by one and enter the variables dialog box.

4. Click the Description button in the main dialog box to open the Factor Analysis: Descriptor sub-dialog box, select the univariate descriptor item in the statistics column to output the mean and standard deviation of variables, select the coefficient item in the correlation matrix column to calculate the correlation coefficient matrix, and then click the Continue button to return to the main dialog box of factor analysis.

5 Click the Extract button in the main dialog box to open the Factor Analysis: Extract sub-dialog box, as shown below. Select the default factor extraction method-principal component in the method list, select the default correlation matrix item in the analysis column to solve the principal component from the correlation coefficient matrix, and select the number of factors in the accurate column; 6. It is required to display the scores of all principal components and the variance that can be explained. Click the Continue button to return to the Principal Factor Analysis dialog box.

6 Click the OK button in the main dialog box to output the result.

The studio of graduate students majoring in statistics is original, please don't paste it complicated.