Blockwise simple component analysis via rotation, constraints or penalties, with an application to product × attribute × panelist data
| Autor: | Eva Ceulemans, Henk A.L. Kiers, Marieke E. Timmerman |
|---|---|
| Přispěvatelé: | Psychometrics and Statistics |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Empirical data
Nutrition and Dietetics As is 05 social sciences MODELS 050401 social sciences methods computer.software_genre 01 natural sciences 010104 statistics & probability 0504 sociology Profiling (information science) Simple component Data mining SENSORY PROFILING DATA 0101 mathematics Zoom computer Food Science Mathematics |
| Zdroj: | Food Quality and Preference, 67, 35-48. ELSEVIER SCI LTD |
| ISSN: | 0950-3293 |
| Popis: | Sensory profiling data consisting of judgements on a number of products with respect to a number of attributes by a number of panelists can be summarized in various ways. Besides finding components describing the main product features, there is an interest in individual panelist behavior. Earlier methods identify this by means of separate PCAs, Procrustes analyses, or three-way component methods, but these give only global comparisons of panelists. In the present paper, methods that can distinguish panelist behavior related to separate attributes, are described. These methods model the data in such a way that blocks of loadings pertaining to the attributes are either small or large. At the same time, one can zoom in on the loadings for panelists within each block of loadings associated with an attribute to inspect differences in panelist behavior. Two types of methods have been proposed for this earlier (rotation to simple blocks and penalizing blocks of loadings), and a third one is proposed in the present paper (constraining blocks of loadings to zero). The new approach is compared here to the other two methods. It is found that the rotation and constraints approaches work about equally well and better than the penalty approach. However, the rotation approach offers richer panelist behavior information, as is illustrated by the analysis of empirical data. It is also shown how, in this example, the reliability of idiosyncratic panelist behavior indicators can be evaluated. ispartof: FOOD QUALITY AND PREFERENCE vol:67 pages:35-48 ispartof: location:ENGLAND, Brighton status: published |
| Databáze: | OpenAIRE |
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