Hostname: page-component-77c89778f8-vsgnj Total loading time: 0 Render date: 2024-07-17T11:59:03.397Z Has data issue: false hasContentIssue false

XIV.—Further Investigations in Factor Estimation

Published online by Cambridge University Press:  14 February 2012

D. N. Lawley
Affiliation:
Moray House, University of Edinburgh

Summary

7. A method of factor estimation is given in which assumptions are made only about the form of the error distributions of the tests administered. This is compared with a method previously suggested in which, on the contrary, the test scores and the individual factor measurements were assumed to be normally distributed over the population of individuals tested. A comparison is also made with other processes at present in use.

Type
Research Article
Copyright
Copyright © Royal Society of Edinburgh 1942

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

References to Literature

Bartlett, M. S., 1937. “The Statistical Conception of Mental Factors,” Brit. Journ. Psychol., vol. xxviii, pp. 97104.Google Scholar
Fisher, R. A., 1938. “The Statistical Utilization of Multiple Measurements,” Ann. Eugen., vol. viii, pp. 376386.CrossRefGoogle Scholar
Fisher, R. A., 1939. “The Sampling Distributions of Some Statistics obtained from Non-linear Equations,” Ann. Eugen., vol. ix, pp. 238249.CrossRefGoogle Scholar
Lawley, D. N., 1940. “The Estimation of Factor Loadings by the Method of Maximum Likelihood,” Proc. Roy. Soc. Edin., vol. lx, pp. 6482.CrossRefGoogle Scholar
Thomson, G. H., 1934. “Hotelling's Method modified to give Spearman's g,” Journ. Educ. Psychol., vol. xxv, pp. 366374.CrossRefGoogle Scholar
Thomson, G. H., 1936. “Some Points of Mathematical Technique in the Factorial Analysis of Ability,” Journ. Educ. Psychol., vol. xxvii, pp. 3754.CrossRefGoogle Scholar
Young, Gale, 1941. “Maximum Likelihood Estimation and Factor Analysis,” Psychometrika, vol. vi, pp. 4953.CrossRefGoogle Scholar