Hostname: page-component-848d4c4894-4hhp2 Total loading time: 0 Render date: 2024-05-21T09:41:49.641Z Has data issue: false hasContentIssue false

Scores and Principal Components: The Relationship between Components due to Subjects and to Variables

Published online by Cambridge University Press:  10 April 2014

Horacio J.A. Rimoldi*
Affiliation:
CIIPME: CONICET, University of Buenos Aires University El Salvador
Elsa Bei de Libonatti
Affiliation:
CIIPME: CONICET, University of Buenos Aires University El Salvador
*
Correspondence concerning this article should be addressed to Dr. Rimoldi, Tte. Gral. Perón 2158. 1040 Buenos Aires (Argentina). Fax: 54 11 4953-3541. E-mail: ciipme@ssdnet.com.ar

Abstract

The main purpose of this article is: given a score matrix called S, find out the joint proportional contribution of factors due to persons (conditions, situations, and so forth) and factors due to variables, for any sij observed score, where i identifies persons, and j, variables. This approach makes it possible a) to show that the same score in a given variable may have a different quantitative interpretation in terms of persons or conditions, and b) to find out how subjects differ in the way in which they relate variables.

El propósito de este artículo es determinar la contribución proporcional de factores debidos a las personas (condiciones, situaciones, etc.) y factores debidos a las variables, dada una matriz S donde se presentan las calificaciones obtenidas por m sujetos en n variables. Siguiendo el procedimiento descrito es posible: a) demostrar que la misma puntuación en una variable puede tener diferente interpretación cuantitativa según las personas, y b) averiguar cómo difieren los sujetos en su forma de relacionar las variables implicadas.

Type
Articles
Copyright
Copyright © Cambridge University Press 2000

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

Burger, G.K., & Rimoldi, H.J.A. (1997) Using person factors to determine variable factors: An application with the MMPI. Interdisciplinaria, 14, 8191.Google Scholar
Burt, C. (1937). Correlation between persons. British Journal of Psychology, 28, 5995.Google Scholar
Burt, C. (1941). The factor of the mind: An introduction to factor analysis in psychology. New York: Macmillan.CrossRefGoogle Scholar
Cattell, R.B. (1950). Personality. A systematic theoretical and factorial study. New York: MacGraw Hill.CrossRefGoogle Scholar
Cattell, R.B. (1952). The three basic factor-analytic research designs: Their interrelations and derivatives. Psychological Bulletin, 49, 499520.CrossRefGoogle ScholarPubMed
Cattell, R.B. (1963). The structuring of change by P-technique and incremental R-technique. In Harris, C.W. (Ed.), Problems in measuring change (pp. 167198). Madison, WI: University of Wisconsin Press.Google Scholar
Cattell, R.B. (1965). The scientific analysis of personality. Harmandsworth, UK: Penguin.Google Scholar
Cattell, R.B. (1978). The scientific use of factor analysis. New York: Plenum Press.CrossRefGoogle Scholar
Cattell, R.B. (1979). Personality and learning theory. 1. The structure of personality in its environment. New York: Springer.Google Scholar
Cattell, R.B. (1980). Personality and learning theory. 2. A systems theory of maturation and structured learning. New York: Springer-Verlag.Google Scholar
Cronbach, L. J. (1992). Some choices in factor analysis. In de Psicología, Facultad (Ed.), Inteligencia y cognición, homenaje al Prof. Mariano Yela Granizo (pp. 465474). Madrid: Editorial Complutense.Google Scholar
Hakstian, A.R., & Cattell, R.B. (1978). An examination of interdomain relationships among some ability and personality traits. Educational and Psychological Measurement, 38, 275290.CrossRefGoogle Scholar
Hojat, M., Erdmann, E., Robeson, M., Damjanov, Y., & Glaser, K. (1992) A study of psychometric characteristics of abridged versions of selected psychological measures given to medical school students for the purpose of predicting their clinical competence. Interdisciplinaria, 11, 129148.Google Scholar
Holley, J.W. (1964). A note on the relationship between Q and R factors. Scandinavian Journal of Psychology, 5, 143148.CrossRefGoogle Scholar
Holley, J.W. (1970). On the generalization of the Burt reciprocity principle. Multivariate Behavioral Research, 5, 241250.CrossRefGoogle ScholarPubMed
Holley, J.W., & Guilford, J.P. (1964). A note on the G index of agreement. Educational and Psychological Measurement, 24, 749753.CrossRefGoogle Scholar
Holley, J.W., & Harris, C.W. (1970). The application of the Harris Bridge in the generalization of the Burt reciprocity principle: A demonstration study. Scandinavian Journal of Psychology, 2, 255260.CrossRefGoogle Scholar
Horst, P. (1963). Matrix algebra for social scientists. New York: Holt, Rinehart, & Winston.Google Scholar
Levin, J. (1964). Three mode factor analysis. Dissertation Abstracts, 24, 55305531.Google Scholar
Rimoldi, H.J.A. (1990). Finding relations between systems of entities: A multivariate approach. Archiv für Psychologie, 142, 211223.Google ScholarPubMed
Sandler, J. (1949). The reciprocity as an aid to factor analysis. British Journal of Psychology: Statistical Section, 2, 180197.Google Scholar
Sandler, J. (1952). A technique for facilitating the rotation of factor axes, based on an equivalence between persons and tests. Psychometrika, 17, 223229.CrossRefGoogle Scholar
Stephenson, W. (1935). Correlating persons instead of tests. Character and Personality, 6, 1724.CrossRefGoogle Scholar
Stephenson, W. (1936). The inverted factor analysis. British Journal of Psychology, 26, 344361.Google Scholar
Stephenson, W. (1953). The study of behavior: Q-technique and its methodology. Chicago, IL: University of Chicago Press.Google Scholar
Thomson, G.H. (1951). The factorial analysis of human ability. London: University of London Press.Google Scholar
Thurstone, L.L. (1969). Multiple-factor analysis. A development and expansion of the vectors of mind. Chicago, IL: University of Chicago Press.Google Scholar
Tucker, L.R. (1967). Implications of factor analysis of three way matrices for measurement of change. In Harris, C. W. (Ed.), Problems in measuring change (pp. 122137). Madison, WI: University of Wisconsin Press.Google Scholar