perfumes: Perfumes data set

In MargotBr/BinQmet: Statistical analysis of binary Q-method data (stimulus-oriented analysis and participant-oriented analysis)

Description

In the 'perfumes' study, a panel of 120 participants was recruited and asked to sort each of 39 perfumes into one of two predefined categories: 'perfumes representative of the concept of innovation' and 'perfumes not representative of the concept of innovation'. The experiment led to 120 profiles of 39-dimensional binary ratings. Additionally, external information about the raters were collected, such as their gender (F or M) and their age bracket (-18, 18-22, +22). Data were also supplemented by twenty-seven covariates providing information about the stimuli (numeric evaluations of the intensity of several sensory characteristics such as 'acid', 'sweet', 'sugar', 'strong').

Usage

data("perfumes")

Format

An initial data frame of dimensions 39 x 120 containing the binary ratings on the 39 stimuli provided by the panel of 120 participants. The initial data frame is supplemented by the 2 covariates providing information about the participants (all categorical); and by the 27 covariates providing information about the stimuli (all continuous).

Author(s)

Margot Brard [e-mail]

Examples

data(perfumes)

MargotBr/BinQmet documentation built on May 29, 2019, 10:52 a.m.