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. Author manuscript; available in PMC: 2009 Jan 1.
Published in final edited form as: Food Qual Prefer. 2008 Jan;19(1):62–70. doi: 10.1016/j.foodqual.2007.06.009

Table 2.

Mean salience scores for a seven cluster solution using K-means cluster analysis. *

Food Category Cluster 1 (n=9) Cluster 2 (n=4) Cluster 3 (n=3) Cluster 4 (n=2) Cluster 5 (n=9) Cluster 6 (n=7) Cluster 7 (n=8) ** Sig.
Meal/time 12.8 10.5 13.0 14.5 11.8 13.0 11.0 0.31
Routine 13.4 10.8 10.7 6.5 8.2 1.6 10.1 0.00
Meal component 1.4 7.5 1.3 4.5 6.7 11.3 7.4 0.00
Preference 2.9 5.8 7.0 4.5 4.3 3.7 1.4 0.03
Well-being 1.0 7.3 1.7 1.5 4.0 .4 1.6 0.00
People .7 .3 6.0 .0 1.7 .3 .4 0.00
Location 1.1 4.3 5.0 1.5 2.9 2.9 .9 0.03
Source .7 .3 3.7 8.5 1.2 2.9 .6 0.00
Convenience .7 .5 3.7 .0 7.4 1.0 1.0 0.00
Food group .1 2.0 .0 .0 1.4 4.1 7.1 0.00
Physical characteristics .1 .5 .0 1.0 2.2 1.7 .5 0.08
Nutrient composition .0 1.5 .0 .0 .1 .4 1.4 0.27
*

Cells include mean salience scores for each food category of participants included in the cluster.

**

Significance for comparison of mean salience scores using one-way-analysis of variance across seven clusters.