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Ability of high school pupils to estimate vocational interests: Some influences of demographic factors and context

Published online by Cambridge University Press:  29 October 2015

James A. Athanasou*
Affiliation:
University of Technology, Sydney
Ray W. Cooksey
Affiliation:
University of New England
*
School of Adult Education, University of Technology, Sydney, PO Box 123 Broadway NSW 2007, 02 330 3800, [email protected]
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Abstract

This study examines the influence of demographic factors such as age, sex, and school setting on self-estimate ability. The subjects (N = 1814) in this study were administered an interest inventory (Vocational lnterest Survey) and a self-rating scale (Work Interest Survey). Similarity between self-estimate and measured interest profiles was assessed using the correlation between individual's profiles and the squared Euclidean distance (D2), and its components (elevation, scatter, and shape by scatter). There were significant differences between boys and girls on profile parameters of elevation, the overall distance between profiles, and self-estimate ability. Girls, on the whole, were better able to estimate the pattern of measured interests (0.62), compared to boys (0.55), but the magnitude of this difference between these coefficients (i.e., 0.07) was very small. Age differences between four age groups (14, 15, 16, and those over 16 years) were small. The mean correlation at 14 years was 0.64 compared with 0.57 at 16 years and 0.4 for those over 16 years. Differences between single-sex schools and co-educational schools were the third factor considered. Girls' schools had the highest correlation between the VIS and WIS profiles (0.63), followed by co-educational schools (0.58) and boys' schools had the lowest profile correlation (0.55).

Type
Research Article
Copyright
Copyright © Australian Psychological Society 1994

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References

Athanasou, J.A. (1986a). A Vocational Interest Survey: Six experimental scales for the measurement of Holland’s vocational types. In Lokan, J.J., & Taylor, K.F. (Eds.), Holland in Australia: A vocational choice theory in research and practice (pp. 139148). Melbourne: Australian Council for Educational Research.Google Scholar
Athanasou, J.A. (1989). Self-reports of vocational interests: Instrumentation and validity. Australian Psychologist, 24, 6170.CrossRefGoogle Scholar
Athanasou, J.A., & Cooksey, R.W. (1991). Convergent and discriminant validity of self-estimates of vocational interests of high school students: A multitrait-multimethod approach. Psychological Test Bulletin, 4, 7178.Google Scholar
Athanasou, J.A., & Cooksey, R.W. (1992). Using self-estimates of interests in counselling: Review of idiographic studies. The Australian Counselling Psychologist, 8, 3443.Google Scholar
Athanasou, J.A., & Cooksey, R.W. (1993a). Self-estimates of vocational interests. Australian Psychologist, 28, 118127.CrossRefGoogle Scholar
Athanasou, J.A., & Cooksey, R.W. (1993b). Influence of personality and other individual difference factors on high school students’ ability to estimate their levels of vocational interests: Preliminary study. Personality and Individual Differences, 14, 421428.CrossRefGoogle Scholar
Athanasou, J.A., & Evans, J.C. (1983). Comparison of measured vocational Interests with self-estimates. Australian Psychologist, 18, 235241.CrossRefGoogle Scholar
Becker, S. (1977). Personality correlates of the discrepancy between expressed and inventoried test scores. Measurement and Evaluation in Guidance, 10, 2430.CrossRefGoogle Scholar
Bidwell, G.P. (1969). Ego-strength, self-knowledge, and vocational planning of schizophrenics. Journal of Counseling Psychology, 16, 4549.CrossRefGoogle Scholar
Breidenbaugh, B.E., & Brozovich, R.W. (1971). Self-rated and test interest patterns among students referred for vocational rehabilitation services. School Counsellor, 18, 185189.Google Scholar
Brown, D., Fulkerson, R.F., Vedder, M., & Ware, W.B. (1983). Self-estimate ability in black and white 8th-, 10th-, and 12th-Grade males and females. Vocational Guidance Quarterly, 52, 2128.CrossRefGoogle Scholar
Brown, M.N. (1950). Client evaluation of Kudcr ratings. Occupations, 28, 225229.Google Scholar
Brown, M.N. (1951). Expressed and inventoried interests of veterans. Journal of Applied Psychology, 35, 401402.CrossRefGoogle Scholar
Burisch, M. (1984). Approaches to personality inventory construction. American Psychologist, 39, 214227.CrossRefGoogle Scholar
Capeto, M.A. (1977). The relationship between college student’s self-estimated interests and interests as measured by the Strong-Campbell Interest Inventory and the Self-Directed Search. Unpublished Doctoral Dissertation. Virginia Polytechnic Institute and StateGoogle Scholar
Cooksey, R.W., & Athanasou, J.A. (1994). Assessing differences in accuracy of self-estimates of vocational interests: An idiographic analysis using profile decomposition. Australian Journal of Psychology, 46, 112117.CrossRefGoogle Scholar
Cronbach, L.J., & Gleser, G.C. (1953). Assessing similarity between profiles. Psychological Bulletin, 50, 456473.CrossRefGoogle ScholarPubMed
Crosby, R.C. & Winsor, A.L. (1941). The validity of students’ estimates of their interests. Journal of Applied Psychology, 25, 408–14.CrossRefGoogle Scholar
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117140.CrossRefGoogle Scholar
Gottfredson, L.S. (1981). Circumscription and compromise: A developmental theory of occupational aspirations. Journal of Counselling Psychology, 28, 545579.CrossRefGoogle Scholar
Hidi, S. (1990). Interest and its contribution as a mental resource for learning. Review of Educational Research, 60, 549571.CrossRefGoogle Scholar
Holland, J.L. (1985). Making vocational choices: A theory of vocational personalities and work environments, Englewood Cliffs, N.J.: Prentice-Hall.Google Scholar
Kopp, T., & Tussing, L. (1947). The vocational choices of high school students as related to scores on vocational interest inventories. Occupations, 25, 334339.Google Scholar
Mi schei, W. (1977). On the future of personality measurement. American Psychologist, 32, 246254.Google Scholar
Paunonen, S.V., & Jackson, D.N. (1985). On ad hoc personality scales: A reply to Burisch. Journal of Research in Personality, 19, 348353.CrossRefGoogle Scholar
Rose, W.A. (1948). A comparison of relative interest in occupational groupings and activity interests as measured by the Kuder Preference Record. Occupations, 26, 302307.Google Scholar
Schiefele, U. (1991). Interest, learning and motivation. Educational Psychologist, 26, 299323.CrossRefGoogle Scholar
Skinner, H.A. (1978). Differentiating the contribution of elevation, scatter and shape in profile similarity. Educational and Psychological Measurement, 38, 297308.CrossRefGoogle Scholar
Suls, J., Gaes, G., & Gastorf, J. (1979). Evaluating a sex-related ability: Comparison with same, opposite- and combined-sex norms. Journal of Research in Personality, 13, 294304.CrossRefGoogle Scholar
Super, D.E. (1990). A life-span, life-space approach to career development. In Brown, D.Brooks, L. & Associates (Eds.), Career choice and development: Applying contemporary theories to practice (2nd ed., pp. 197261). San Francisco: Jossey-Bass.Google Scholar
Thompson, A.P., & Hutchinson, G.E. (1981). The predictability of Strong-Campbell interest themes among tertiary-level students. British Journal of Guidance and Counselling, 9, 221225.CrossRefGoogle Scholar
Tierney, R.J., & Herman, A. (1973). Self-estimate ability in adolescence. Journal of Counseling Psychology, 20, 298302.CrossRefGoogle Scholar