The marker index: A new method of selection of marker variables in factor analysis

TPM - Testing, Psychometrics, Methodology in Applied Psychology

Volumn 14, Issue 1, 2007, Pages 3-25

  Gallucci, Marcello ^a   Perugini, Marco ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Factor analysis; Marker index; Representativeness; Simplicity; Variable selection

Indexed keywords

EID: 84878328894     PISSN: 19726325     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (24)

1. Cattell, R. B. (1978). The scientific use of factor analysis. New York: Plenum Press.
2. Cattell, R. B., & Tsujioka, B. (1964). The importance of factor-trueness and validity, versus homogeneity and orthogonality, in test scales. Educational and Psychological Measurement, 24, 3-30.
3. Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis. Hillsdale, NJ: Lawrence Erlbaum Associates.
4. Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. New York: Holt, Rinehart and Winston.
5. Dillon, W. R., & Goldstein, M. (1984). Multivariate analysis: Methods and applications. New York: Wiley.
6. Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299.
7. Fleming, J. S. (1985). An index of fit for factor scales. Educational and Psychological Measurement, 45, 752-728.
8. Fürntratt, E. (1969). Zur Bestimmung der Anzahl interpretierbarer gemeinsamer Faktoren in Faktorenanalysen empirischer Daten. Diagnostica, 15, 62-75.
9. Goldberg, L. R. (1992). The development of markers of the Big Five factor structure. Psychological Assessment, 6, 26-42.
10. Gorsuch, R. L. (1974). Factor analysis. Hillsdale, NJ: Lawrence Erlbaum Associates.
11. Guilford, J. P. (1954). Psychometric methods. New York: McGraw-Hill.
12. rd edition). Chicago: University of Chicago Press.
13. Harris, R. J. (1975). A primer of multivariate statistics. New York: Academy Press.
14. Horst, P. (1965). Factor analysis of data matrices. New York: Holt, Rinehart & Winston.
15. Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-35.
16. Kiers, H. A. (1997). Techniques for rotating two or more loading matrices to optimal agreement and simple structure: A comparison and some technical details. Psychometrika, 62, 545-568.
17. Kline, P. (1993). The handbook of psychological testing. London: Routledge.
18. Loehlin, J. C. (1987). Latent variable models: An introduction to factor, path, and structural analysis. Hillsdale, NJ: Lawrence Erlbaum Associates.
19. Nunnally, J. (1978). Psychometric theory. New York: McGraw-Hill.
20. Perugini, M., & Leone, L. (1996). Construction and validation of a Short Adjectives Checklist to measure Big Five (SACBIF). European Journal of Psychological Assessment, 12, 1-10.
21. Rummel, R. J. (1970). Applied factor analysis. Evanston, IL: Northwestern University Press.
22. Stevens, J. (1996). Applied multivariate statistics for the social sciences. Mahwah, NJ: Lawrence Erlbaum Associates.
23. nd edition). New York: Harper Collins Publishers.
24. Ten Berge, J. M. F., & Knol, D. L. (1985). Scale construction on the basis of components analysis: A comparison of three strategies. Multivariate Behavioral Research, 20, 45-55.