This study presents the unique advantages of Q-factor analysis, an infrequently used multivariate approach, for initial instrument validation. The study demonstrates that with relatively few subjects initial data on predictive validity can be obtained for instruments when large populations are either not available or infeasible. For 18 subjects, 9 male and 9 female, the results of a Q-factor analysis indicated that a newly developed diagnostic instrument to assess fully-functioning behavior had significant correspondence to clinical prediction measures. The implications for Q-methodology are discussed.
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References
1.
CattellR. B.The meaning and strategic use of factor analysis. In CattellR. B. (Ed.), Handbook of multivariate experimental psychology. Chicago: Rand McNally, 1966. Pp. 174–243.
2.
CohenJ.The impact of multivariate research in clinical psychology. In CattellR. B. (Ed.), Handbook of multivariate experimental psychology. Chicago: Rand McNally, 1966. Pp. 856–877.
3.
EysenckH. J.The logical basis of factor analysis. American Psychologist, 1953, 8, 105–114.
4.
MeehlP. E.Clinical vs statistical prediction. Minneapolis: Univer. of Minnesota Press, 1954.
5.
PaykelE. S.Classification of depressed patients. British Journal of Psychiatry, 1971, 118, 275–288.
6.
SjöbergL. C.HolleyJ. W.A measure of similarity between individuals when swing directions of variables are arbitrary. Multivariate Behavioral Research, 1967, 2, 377–384.
7.
StephensonW.The study of behavior: Q-technique and its methodology. Chicago: Univer. of Chicago Press, 1953.
8.
VriendJ.DyerW.Counseling techniques that work. Washington: American Personnel and Guidance Assn Press, 1974.
