An objective counterpart to the visual scree test for factor analysis: The standard error scree

Educational and Psychological Measurement

Volumn 56, Issue 3, 1996, Pages 443-451

  Zoski, Keith W ^a   Jurs, Stephen ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0030549884     PISSN: 00131644     EISSN: None     Source Type: Journal    
DOI: 10.1177/0013164496056003006     Document Type: Article

References (18)

1. Berry, W. D. (1993). Understanding regression assumptions. Newbury Park, CA: Sage.
2. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276.
3. Cattell, R. B. (1978). The scientific use of factor analysis in behavior and life sciences. New York: Plenum.
4. Cattell, R. B., & Jaspers, J. (1967). A general plasmode No. 30-10-5-2 for factor analytic exercises and research. Multivariate Behavioral Research, 2, 1-212.
5. Cattell, R. B., & Vogelman, S. (1977). A comprehensive trial of the scree and KG criteria for determining the number of factors. Multivariate Behavioral Research, 12, 289-325.
6. Cliff, N. (1970). The relation between sample and population characteristic vectors. Psychometrika, 35, 163-178.
7. Crawford, C. B., & Koopman, P. (1979). Note: Inter-rater reliability of the scree test and mean square ratio test of number of factors. Perceptual & Motor Skills, 49, 223-226.
8. Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
9. Gorsuch, R. L., & Nelson, J. (1981). CNG scree test: An objective procedure for determining the number of factors. Presented at the annual meeting of the Society for Multivariate Experimental Psychology.
10. Harman, H. H. (1967). Modern factor analysis. Chicago: University of Chicago Press.
11. Horn, J. L., & Engstrom, R. (1979). Cattell's scree test in relation to Bartlett's chi-squared test and other observations on the number of factors problem. Multivariate Behavioral Research, 14, 283-300.
12. Howell, D. C. (1987). Statistical methods for psychology (2nd ed.). Boston: Duxbury.
13. Linn, R. L. (1968). A Monte Carlo approach to the number of factors problem. Psychometrika, 33, 37-72.
14. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
15. Tucker, L. R., Koopman, R. F., & Linn, R. L. (1969). Evaluation of factor analytic research procedures by means of simulated correlation matrices. Psychometrika, 34, 421-459.
16. Zoski, K. W., & Jurs, S. (1990). Priority determination in surveys: An application of the scree test. Evaluation Review, 14, 214-219.
17. Zoski, K. W., & Jurs, S. (1993). Using multiple regression to determine the number of factors to retain in factor analysis. Journal of Multiple Linear Regression Viewpoints, 20(1), 5-9.
18. Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442.