Developed over a 4-year period by the Department of Defense, the Interest-Finder assesses the RIASEC constructs associated with Holland's (1985a) vocational personality theory. Analyses based on a large national sample of high school students and military recruits (N = 3,608), were conducted to assess Interest-Finder content-, construct-, and criterion-related evidence of validity. Results showed that the Interest-Finder (a) is composed of six factors, with each factor representing one RIASEC domain, (b) has a hexagonal shape, (c) has substantial relationships with the Strong Interest Inventory (SII; Hansen & Campbell, 1985), (d) can predict certain high school courses taken by students, and (e) can predict certain types of career choices made by high school students. The Interest-Finder is an exceptionally promising instrument with very high levels of reliability and validity.
Defense Manpower Data Center. (1997). Technical manual for the ASVAB Career Exploration Program. Seaside, CA: Author.
7.
Dziuban, C.D., & Shirkey, E.C. (1974). When is a correlation matrix appropriate for factor analysis? Some decision rules. Psychological Bulletin, 81, 358-361.
8.
Eagle, E. (1989). Socioeconomic status, family structure, and parental involvement: The correlates of achievement. Paper presented at the annual meeting of the American Educational Research Association , San Francisco, CA. (ERIC Document Reproduction Service No. ED 307 332)
Gottfredson, G.D., & Holland, J.L. (1989). Dictionary of Holland occupational codes (2nd ed.). Odessa, FL: Psychological Assessment Resources.
11.
Hansen, J.C., & Campbell, D.P. (1985). Manual for the Strong Interest Inventory (4th ed.). Palo Alto, CA: Consulting Psychologists Press.
12.
Holland, J.L. (1985a). Making vocational choices: A theory of vocational personalities and work environments (2nd ed.). Odessa, FL: Psychological Assessment Resources.
13.
Holland, J.L. (1985b). The Self-Directed Search professional manualOdessa, FL: Psychological Assessment Resources.
14.
Kaiser, H.F. (1958). The varimax criterion for analytic rotation in factor analysis. Educational and Psychological Measurement , 19, 413-420.
15.
Kaiser, H.F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.
16.
Keppel, G. (1991). Design and analysis: A researcher's handbook (3rd ed.). Englewood Cliffs, NJ: Prentice-Hall.
17.
Kruskal, J.B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29, 1-27.
18.
Kruskal, J.B., & Wish, M. (1978). Multidimensional scaling. Beverly Hills, CA: Sage.
19.
Lawley, D.N. (1971). Factor analysis as a statistical method (2nd ed.). London: Butterworth Press.
20.
Maxwell, S.E., & Delaney, H.D. (1990). Designing experiments and analyzing data: A model comparison perspective. Belmont, CA: Wadsworth.
21.
McGraw-Hill Book Co. (1983). Guidelines for bias-free publishing. New York: Author.
22.
Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational measurement (3rd ed., pp. 13-104). New York: McMillan.
23.
Myors, B. (1996). A simple, exact test for the Holland hexagon. Journal of Vocational Behavior, 48, 339-351.
24.
Rounds, J., & Tracey, T.J. (1993). Prediger's dimensional representation of Holland's RIASEC circumplex. Journal of Applied Psychology, 78, 875-890.
25.
Tabachnick, B.G., & Fidell, L.S. (1989). Using multivariate statistics (2nd ed.). New York: Harper & Row.
26.
Tracey, T.J., & Rounds, J. (1993). Evaluating Holland's and Gatti's vocational-interest models: A structural meta-analysis. Psychological Bulletin , 113, 229-246.
27.
Wall, J.E. (1994). An example of assessment's role in career exploration . Journal of Counseling and Development, 72, 608-613.
28.
Wall, J.E., Wise, L.L., & Baker, H.E. (1996). Development of the Interest—Finder—a new RIASEC-based interest inventory. Measurement and Evaluation in Counseling and Development, 29, 134-152.
29.
Young, F.W., & Harris, D.F. (1993). Multidimensional scaling. In M. Norusis (Ed.), SPSS for Windows: Professional statistics release 6.0 (pp. 155-222). Chicago: SPSS.
