Spss has many functions, and it can also be used for principal component analysis, but many friends don't know how to do it. The detailed steps of spss principal component analysis prepared by Bian Xiao are as follows. You can know how to analyze spss principal components by installing detailed steps step by step. Detailed steps of spss principal component analysis: 1. Open the SPSS software, import the data, and then click Analysis, Dimension Reduction and Factor Analysis. As shown in figure 1 (figure 1). 2. After opening the factor analysis interface, select all variables to be analyzed in the variables dialog box, and then click the description in the upper right corner. As shown in figure 2 (figure 2). 3. Check the original analysis results and KMO inspection dialog box, and then click Continue. As shown in Figure 3 (Figure 3). 4. Click Select. In this method, select the principal component and click the gravel map. As shown in Figure 4 (Figure 4). 5. Click Rotate, and then click Rotate with Maximum Variance. As shown in figure 5 (figure 5). 6. Click on the score, and then click to save it as a score coefficient matrix of variables and display factors. As shown in figs. 6 (6) and 7. Determine the last point, and you can see the results of principal component analysis in the output part. As shown in Figure 7 (Figure 7), the above are the detailed steps of spss principal component analysis. Have you learned? Bian Xiao recommended: How does SPSS do regression analysis? How does spss do reverse grading? How to use the cluster analysis function of spss? Spss cluster analysis using tutorial