The soup
data frame has 1847 rows and 13 variables. 185
respondents participated in an A-not A discrimination test with
sureness. Before experimentation the respondents were familiarized
with the reference product and during experimentation, the respondents
were asked to rate samples on an ordered scale with six categories
given by combinations of (reference, not reference) and (sure, not
sure, guess) from 'referene, sure' = 1 to 'not reference, sure' = 6.
soup
RESP
factor with 185 levels: the respondents in the study.
PROD
factor with 2 levels: index reference and test products.
PRODID
factor with 6 levels: index reference and the five test product variants.
SURENESS
ordered factor with 6 levels: the respondents ratings of soup samples.
DAY
factor with two levels: experimentation was split over two days.
SOUPTYPE
factor with three levels: the type of soup regularly consumed by the respondent.
SOUPFREQ
factor with 3 levels: the frequency with which the respondent consumes soup.
COLD
factor with two levels: does the respondent have a cold?
EASY
factor with ten levels: How easy did the respondent find the discrimation test? 1 = difficult, 10 = easy.
GENDER
factor with two levels: gender of the respondent.
AGEGROUP
factor with four levels: the age of the respondent.
LOCATION
factor with three levels: three different locations where experimentation took place.
Christensen, R. H. B., Cleaver, G. and Brockhoff, P. B.(2011) Statistical and Thurstonian models for the A-not A protocol with and without sureness. Food Quality and Preference, 22, pp. 542-549.