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VI.—The Estimation of Factor Loadings by the Method of Maximum Likelihood
Abstract
1. When a battery of intelligence tests is administered to a set of persons it is a common practice among psychologists to “explain” the scores obtained in terms of a number of “factors.” Thus if we suppose that there are altogether t tests and that xi, denotes the score of any one person in the i th test, then it is assumed that where f, g, …, h represent the person's measures in one or more general or group factors, and Si, is the person's specific ability in the i th test. It is further assumed that for a given and supposed infinite population of persons all the factors, specific and otherwise, are distributed normally and independently and that they are standardised, i.e. that their standard deviations are unity.
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Cited by
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lavaan : An R Package for Structural Equation Modeling
Rosseel, Y. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i02 · Cited by 27,955
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037//0033-2909.88.3.588 · Cited by 19,023
Evaluating the use of exploratory factor analysis in psychological research.
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Tucker, L. R., & Lewis, C. (1973) · Psychometrika · doi:10.1007/bf02291170 · Cited by 7,330
Metadata
- Authors
- Lawley, D. N.
- Venue
- Proceedings of the Royal Society of Edinburgh
- Publisher
- Cambridge University Press (CUP)
- Published
- 1940
- Volume
- 60
- Issue
- 1
- Pages
- 64-82
- ISSN
- 0370-1646 (ISSN-L)
- OpenAlex
- W2462634734
- Cited by
- 381
- References
- 0
- FWCI
- 1.61
- Type
- journal article
- Language
- en
- Open access
- closed
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