An individual differences approach to multidimensional scaling is outlined from the perspective of the modern interactional paradigm. The applicability of the individual differences model to anxiety research in sport settings is demonstrated. The model offers the advantage that both individual athlete data and group athlete data are revealed in the analysis simultaneously, without either analysis restricting the other. Representations of the structure in sport anxiety data matrices are unlocked by the individual differences model. Additional applications of the model to sport psychology research topics are offered.
Gratitude is expressed to James Cunningham, Department of Psychology, Cornell University for sharing his expertise in multidimensional scaling techniques, especially in light of the laborious task of taking this writer on as a pupil. Special thanks are expressed also to Lary Jones, Department of Academic Computer Services, Ithaca College for his untiring efforts to adapt INDSCAL to the Ithaca College computer.