Smallest space analysis represents one way to probe the validity of intelligence tests. In this article a variety of techniques are used to further investigate the structure of the WPPSI and MILI batteries. In general, the approaches used in this investigation support Zeidner and Feitelson's claim that between-battery variance is the single most salient feature of the data set. However, no technique demonstrates the presence of the three-factor structure postulated for intelligence tests. This paper demonstrates the value of using several statistical approaches to investigate the structure of a data set.
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References
1.
Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81-105.
2.
Dillon, W. R., & Goldstein, M. (1984). Multivariate analysis: Methods and applications. New York: John Wiley.
3.
Fruchter, B. (1954). Introduction to factor analysis. Princeton, NJ: Van Nostrand.
4.
Guttman, L. (1965). The structure of inter-relations among intelligence tests. In Proceedings of the 1964 Invitational Conference on Testing Problems (pp. 25-36). Princeton, NJ: Educational Testing Service.
5.
Hayduk, L. A. (1987). Structural equation modeling with LISREL. Baltimore: Johns Hopkins Press.
6.
Jones, P. A. B. (1987). Assessment of dimensionality in dichotomously scored data using multidimensional scaling (Doctoral dissertation, University of Arizona, 1987). Dissertation Abstracts International, 49(01 B), 157. (Publication No. AAC8804177)
7.
Jones, P. B. (1988, April). Assessment of dimensionality in dichotomously scored data using multidimensional scaling: Analysis of HSMB data. Paper presented at the annual meeting of the American Educational Research Association, New Orleans.
8.
Jöreskog, K. G., & Sörbom, D. (1988). LISREL 7: A guide to program and applications. Chicago: SPSS.
9.
Kruskal, J. B., & Wish, M. (1978). Multidimensional scaling. Sage University Paper series on Quantitative Applications in the Social Sciences, 07-011.
10.
Schlesinger, I. M., & Guttman, L. (1969). Smallest space analysis of intelligence and achievement tests. Psychological Bulletin, 71(2), 95-100.
11.
Wechsler, D. (1967). Manual for the Wechsler preschool and primary scale of intelligence. New York: Psychological Corporation.
12.
Zeidner, M., & Feitelson, D. (1989). Probing the validity of intelligence tests for preschool children: A smallest space analysis. Journal of psychoeducational assessment, 7, 000-000.
