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Table 7. Means and standard deviations of the motivational dimensions and destinations by background and happiness variables. Notes: The scale for motivation 1-5, and for destination 1-9.

Table 7 Means and standard deviations of the motivational dimensions and destinations by background and happiness variables. Notes: The scale for motivation 1-5, and for destination 1-9.

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Table 2. Demographic statistics of Finnish wellness travellers.
Table 2. Demographic statistics of Finnish wellness travellers.
Table 3. Sources of happiness of Finnish wellness travellers in relation to hedonic and eudaimonic well-being.
Table 3. Sources of happiness of Finnish wellness travellers in relation to hedonic and eudaimonic well-being.
Table 4. Means and standard deviations of the Finnish wellness travellers’ motivations.
Table 4. Means and standard deviations of the Finnish wellness travellers’ motivations.
Notes: Extraction Method: Principal Component Analysis; Rotation Method: Varimax; Loadings higher than 0.7 are reported; Bartlett test of sphericity p < 0.000. Percent of variance explained 74.14; KMO = 0.871. Table 5. An exploratory factor analysis of the motivational scale items of Finnish wellness travellers.
Notes: Extraction Method: Principal Component Analysis; Rotation Method: Varimax; Loadings higher than 0.7 are reported; Bartlett test of sphericity p < 0.000. Percent of variance explained 74.14; KMO = 0.871. Table 5. An exploratory factor analysis of the motivational scale items of Finnish wellness travellers.
Table 6. Means and standard deviations of the favourite destinations.
Table 6. Means and standard deviations of the favourite destinations.
Notes: * p< .050 ** p< .010 ***p < .001. a (1=female, 0 = male), b (1 = adult, 0 = elderly), c (1 = higher education, 0 = upper secondary education), d (1 = high income, 0 = low/middle gross income). Table 8. Continued.
Notes: * p< .050 ** p< .010 ***p < .001. a (1=female, 0 = male), b (1 = adult, 0 = elderly), c (1 = higher education, 0 = upper secondary education), d (1 = high income, 0 = low/middle gross income). Table 8. Continued.
Table 9. Summary of multivariate linear regression analysis and regression coefficients explaining Sp and National park & outdoor recreational area. *Notes: Std. Residual Min = —2.178, Std. Residual Max = 1.528. Age group elderly, Tolerance = .994, VIF = 1.006; Relation- ships, Tolerance = .955, VIF = 1.007: Rest and Relaxation, Tolerance = .960, VIF = 1.047. The charts of standardised residuals indicated that the data contained approximately normally distributed errors. Notes: Std. Residual Min = —2.358, Std. Residual Max = 1.788. Nature, Tolerance = .998, VIF = 1.04; Age group elderly, Tolerance = .996, VIF = 1.004: Higher education, Tolerance = .995, VIF = 1.005. The charts of standardised residuals indi- cated that the data contained approximately normally distributed errors.
Table 9. Summary of multivariate linear regression analysis and regression coefficients explaining Sp and National park & outdoor recreational area. *Notes: Std. Residual Min = —2.178, Std. Residual Max = 1.528. Age group elderly, Tolerance = .994, VIF = 1.006; Relation- ships, Tolerance = .955, VIF = 1.007: Rest and Relaxation, Tolerance = .960, VIF = 1.047. The charts of standardised residuals indicated that the data contained approximately normally distributed errors. Notes: Std. Residual Min = —2.358, Std. Residual Max = 1.788. Nature, Tolerance = .998, VIF = 1.04; Age group elderly, Tolerance = .996, VIF = 1.004: Higher education, Tolerance = .995, VIF = 1.005. The charts of standardised residuals indi- cated that the data contained approximately normally distributed errors.
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