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GPA analysis, which showed that 86% of the total variation was related to ve independent components. The rst axis was related to skin toughness, rmness, and meatiness. The second principal axis was related to juiciness and fattiness. A later UK study by Hope (2007) revisited the work of Jones et al. (1989) and looked at 36 brands of pork sausages, purchased from 10 different retailers. Of the brands studied, ve were among the ten most popular sausages in the UK. The objective was to link sensory and declared compositional data. Instrumental texture analysis was not included in this study. The sensory descriptors used were very similar to those quoted earlier and included skin toughness, rmness, meatiness, particle size, and bitterness. Sausages in this work were grilled, turned every 3 minutes, and cooked to an internal core temperature of 100 C. Declared meat content was demonstrated to be signi cantly related to price, skin toughness, rmness, pork avor, meatiness, particle size, and perceived saltiness. Fat content was related to fattiness, sweetness, and acidity. Salt content was related to skin toughness, rmness, meatiness, and particle size, but interestingly not saltiness. It was suggested that this could be that perceived salt content could be in uenced by other components in the sausage, such as herbs, spices, MSG (monosodium glutamate), fat content, and lean meat content. The hedonic term overall liking was in uenced by price, rmness, juiciness, pork avor, meatiness, and particle size. PCA analysis of the data set, including compositional, labeling, price information, and sensory attributes showed that the rst two principal components accounted for 51% of the total variation. The rst principal axis revealed high negative weights related to percentage of meat content, price per kilogram, and the sensory attributes of rmness, meatiness, and particle size. Positive weightings

There are two criteria for deciding whether the dimensional augmentation is needed. One is the norm of a residue vector de ned by h y UT g x k where g UT y x k 7:2

A list of nesting problems (usually listed as warnings, not as errors) A list of any place you used characters instead of entities (such as putting a > in your document)

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Kiesler, D J, Schmidt, J A, & Wagner, C C (1997) A circumplex inventory of impact messages: An operational bridge between emotion and interpersonal behavior In R Plutchik and H Conte (Eds), Circumplex models of personality and emotions (pp 221 244) Washington, DC: American Psychological Association Kovalski, T M, Tracey, T J G, & Darcy, M U (2000, August) Personal Globe Inventory and an examination of its psychometric properties Paper presented at the annual meeting of the American Psychological Association, Washington, DC LaForge, R, Freedman, M B, & Wiggins, J S (1985) Interpersonal circumplex models: 1948 1983 Journal of Personality Assessment, 49, 613 631 Larsen, R J, & Diener, E (1992) Promises and problems with the circumplex model of emotion In M S Clark (Ed), Review of personality and social psychology: Emotion (Vol 13, pp 25 59) Newbury Park, CA: Sage.

Leary, T (1957) Interpersonal diagnosis of personality New York: Ronald Press Lorr, M (1997) The circumplex model applied to interpersonal behavior, affect, and psychotic syndromes In R Plutchik and H Conte (Eds), Circumplex models of personality and emotions (pp 47 56) Washington, DC: American Psychological Association Maiti, S S, & Mukherjee, B N (1990) A note on the distributional properties of the J reskog-S rbom t indices Psychometrika, 55, 721 726 Mardia, K V (1972) Statistics of directional data New York: Academic Press Millon, T (1987) Manual for the MCMI-II (2nd ed) Minneapolis, MN: National Computer Systems Olson, D H (1996) Clinical assessment and treatment using the Family Circumplex Model In F W Kaslow (Ed), Handbook of relational diagnosis and dysfunctional family patterns (pp 59 80) New York: Wiley Pincus, A L (1994) The interpersonal circumplex and the interpersonal theory: Perspectives on personality and its pathology.

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In S Strack and M Lorr (Eds), Differentiating normal and abnormal personality (pp 114 136) New York: Springer Pincus, A L, & Gurtman, M B (1995) The three faces of interpersonal dependency: Structural analyses of self-report dependency measures Journal of Personality and Social Psychology, 69, 744 758 Pincus, A L, Gurtman, M B, & Ruiz, M A (1998) Structural Analysis of Social Behavior (SASB): Circumplex analyses and structural relations with the Interpersonal Circle and the FiveFactor Model of Personality Journal of Personality and Social Psychology, 74, 1629 1645 Plutchik, R, & Conte, H (1985) Quantitative assessment of personality disorders In R Nickols, J O Cavenar, & H K H Brodie (Eds), Psychiatry (Vol 7, pp 1 13) Philadelphia: J B Lippincott..

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