Abstract
This study appraised the degree to which student profiles on the Jackson Vocational Interest Survey (JVIS) for different academic majors could be clustered in a meaningful way. From an initial sample of 10,134 students, a matrix of mean scores for 131 academic majors on each of 34 JVIS basic interest scales was computed. This matrix was subjected to a singular value decomposition with subsequent orthogonal and oblique rotations of 17 reference axes. The 17 clusters so defined reflected distinct sets of academic major fields, with separate clusters for majors in engineering, computer science, performing arts, communicative arts, human services, and others. Male and female groups entered into the definition of every cluster. Based on the salient representations of academic majors on these reference axes, modal cluster profiles were computed and decomposed into five orthogonal higher‐order dimensions. The implications of these findings for the psychology of occupational choice, career development, and vocational interest measurement are outlined.
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