Academic article

Exploring the common and unique variability in TDS and TCATA data - A comparison using canonical correlation and orthogonalization

Berget, Ingunn; Castura, John C.; Ares, Gaston; Næs, Tormod; Varela-Tomasco, Paula

Publication details

Journal: Food Quality and Preference, vol. 79, 2020

Publisher: Elsevier

International Standard Numbers:
Printed: 0950-3293
Electronic: 1873-6343

Open Access: green


Temporal Dominance of Sensations (TDS) and Temporal Check-all-that-Apply (TCATA) from three different case studies are compared by means of canonical
correlation analysis, orthogonalization and principal component analysis of the vertically unfolded data (which means that the matrices compared have samples*
timepoints in the rows and attributes in the columns). The multivariate analyses decompose the datasets into common and distinct components. The results
showed that the major part of the variation is common between the two methods for the cases investigated, but that there were subtle differences showing better
discrimination for TCATA than TDS. TDS showed a more complex data structure and more unique variation. The unique variation in TDS is, however, difficult to
interpret. The methods are more different towards the end of the mastication, this can be explained both by the difficulty of assessors to agree on the dominant
attributes at the bolus stage for TDS, and that assessors may forget to unclick attributes in TCATA. This work builds on recent methodological studies on temporal
methods that aim to better understand differences among methodologies and ultimately to identify what methods could be better for answering different objectives.