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Health, Wellness and Tourism: healthy tourists, healthy business ...

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Figure 1 Image positions of five Asian destinations by non-wellness <strong>and</strong> wellness<br />

travellers<br />

The final analysis uses the profile data for the selected destinations (2 sets x 5 countries x 2<br />

segments x 31 attributes) to project their associations into a low-dimensional beneficial image<br />

space. This approach was conducted by applying two separate runs of multi-dimensional<br />

scaling procedures (ALSCAL: Young 1987: 32) on the rectangular matrices. A threedimensional<br />

configuration for the Asian data converged with ratios for Kruskal’s Stress at .02<br />

<strong>and</strong> <strong>and</strong> R² of .99. The European data had similarly satisfying convergence conditions: Stress<br />

= .01 <strong>and</strong> R² = .99. The following two Figures 1 <strong>and</strong> 2 use the coordinates of the 3dimensional<br />

space of the destinations <strong>and</strong> add the attribute profiles attached to them through a<br />

routine called property fitting calling the C-Match algorithm developed by Cliff (1966; Rroutine<br />

programmed by C. Buchta). Destination labels without suffix represent images held<br />

by non-wellness travellers whereas labels with the suffix “_W” represent those of wellness<br />

travellers.

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