St@tmaster > Data sets > ST113 Data file
Last modified: Apr 24, 2003
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Consumer preference mapping of carrots

Key words:   Random coefficient analysis.

Description

In a consumer study 103 consumers scored their preference of 12 danish carrot types on a scale from 1 to 7. Moreover the consumers scored the degree of sweetness, bitterness and crispiness in the products. The carrots were harvested in autumn 1996 and tested in march 1997. A number of background information variables were recorded for each consumer:
Frequency: "How often do you eat carrots?"

  1. Once a week or more
  2. Once every 2 weeks
  3. once every 3 weeks
  4. At least once a month
  5. Less than once a month
Gender:

  1. male
  2. female
Age:

  1. -25 y
  2. 26-40 y
  3. 41-60
  4. 61-
Homesize: (number of persons in the household)

  1. 1 or 2 persons
  2. 3 or more persons
Work: (7 different types of employment)

  1. Unskilled worker (no education)
  2. Skilled worker (with education)
  3. Office worker
  4. Housewife (or man)
  5. independent businessman/self-employed
  6. Student
  7. Retired
Income: (of the household)

  1. < 150.000 DKK
  2. 150.000-300.000 DKK
  3. 300.000-500.000 DKK
  4. > 500.000 DKK
In addition to the consumer survey, the carrot products were evaluated by a trained panel of tasters, the sensory panel, with respect to a number of sensory (taste, odour and texture) properties. Since usually a high number of (correlated) properties(variables) are used, in this case 14, it is a common procedure to use a few, often 2, combined variables that contain as much of the information in the sensory variables as possible. This is achieved by extracting the first two principal components in a principal components analysis(PCA) on the product-by-property panel average data matrix. In this data set the values of the first two principal components are provided, see the loadings plot for the interpretation of these components.


Number of observations: 1236


Variable                Description
ConsumerNumbering identifying the consumers
FrequencyValued 1-5 (see above)
GenderValued 1-2 (see above)
AgeValued 1-4(see above)
HomesizeValued 1-2 (see above)
WorkValued 1-7 (see above)
IncomeValued 1-4 (see above)
Preferencepreference score
Sweetness Sweetness score
BitterBitterness score
CrispCrispiness score
Sens1First sensory principal component
Sens2First sensory principal component
ProductProduct identification

Source

Per Bruun Brockhoff, The Royal Veterinary and Agricultural University, Denmark.

Analysis

Randomized block, Random coefficient analysis.


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