Total variance tells how much variance is explained by all factors. However, if we want to know how much of it is explained by each factor, what is the process?
In the spss he explains the variance of each factor
https://www.youtube.com/watch?v=M6FUT0h-bhY
Hello Seerat,
The proportion of variance represented by each factor upon extraction is given by dividing that factor's eigenvalue by the total number of variables involved (the sum of all eigenvalues across factors when #factors = #variables will equal the number of variables). These values are routinely given in factor software programs.
After an orthogonal rotation, if you sum the squared loadings for each factor (and divide by the total number of variables), that will give you the proportion of variance for the rotated solution.
Good luck with your work.
Dear Seerat,
If u used SPSS for Factor Analysis then from output, find the " Total Variance Explained " Table. In column labeled " Extraction Sums of Squared Loadings ", The" Total" (A) column shows the Eigenvalues for each factor extracted it should be higher than 1( Kaiser, 1960) 1. The second column (B) " % of Variance" 2 indicates the variance is explained by each factor (or component).The "Cumulative % " column (C) shows the percentages of the total variance explained by the factors ( greater than 60%; Hair et al.(1998) 3.
1) Kaiser, H. F. (1960). The Application of Electronic Computers to Factor Analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
2) Your answer
3) Hair, J. F., Anderson, R. E., Tatham, R. L., & William, C. (1998). Multivariate data analysis. Upper Saddle River., New Jersey: Prentice Hall.
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