Determining the number of components from the matrix of partial correlations

Psychometrika

Volumn 41, Issue 3, 1976, Pages 321-327

  Velicer, Wayne F ^a  

^a UNIVERSITY OF RHODE ISLAND   (United States)

Author keywords

common variance; factor analysis; image component analysis

Indexed keywords

EID: 0001193215     PISSN: 00333123     EISSN: 18600980     Source Type: Journal    
DOI: 10.1007/BF02293557     Document Type: Article

References (20)

1. Tests of significance in factor analysis
2. A further note on tests of significance in factor analysis
3. An empirical study of the factor analysis stability hypothesis
4. The scree test for the number of factors
5. Factor analysis by Lawley's method of maximum likelihood
6. Using Bartlett's significance test to determine the number of factors to extract
7. Factor analysis by minimizing residuals (minres)
8. Some contributions to maximum likelihood factor analysis
9. The application of electronic computers to factor analysis
10. A study of speed factors in tests and academic grades
11. Recent trends in factor analysis
12. Some new results on factor indeterminacy
13. The dimensions of temperament
14. An empirical comparison of the stability of factor analysis, principal component analysis, and image analysis
15. The relation between factor score estimates, image scores, and principal component scores