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Rate-all-that-apply (RATA) with semi-trained assessors: An investigation of the method reproducibility at assessor-, attribute- and panel-level

open access: yesFood Quality and Preference, 2016
Abstract Rate-all-that-apply (RATA) is a variant of check-all-that-apply (CATA) questions that allows assessor to rate the intensity of selected attributes. Compared to CATA, RATA has the potential to improve sample description and discrimination, and might be more useful when only a small number of assessors are available.
Davide Giacalone, Pia Ingholt Hedelund
exaly   +4 more sources
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On the analysis of Rate-All-That-Apply (RATA) data

Food Quality and Preference, 2016
Abstract Rate-All-That-Apply (RATA) is a variation of the more widely used CATA question format. For a pre-specified list of terms, consumers indicate whether they apply to a given product, and if they do so, to rate their intensity. For example, a 3-pt scale may be used with anchors ‘low’, ‘medium’ and ‘high’ or a 5-pt scale anchored at 1 ...
Michael Meyners   +2 more
openaire   +3 more sources

Comparison of Rate-All-That-Apply and Descriptive Analysis for the Sensory Profiling of Wine

American Journal of Enology and Viticulture, 2017
The aim of this work was to investigate how useful the Rate-All-That-Apply (RATA) method with naive consumers is to profile a wide range of wines and how the sensory profiles obtained compare with those of classic descriptive analysis (DA). For this purpose, we conducted two studies.
Danner, L.   +5 more
openaire   +2 more sources

Evaluation of a rating-based variant of check-all-that-apply questions: Rate-all-that-apply (RATA)

Food Quality and Preference, 2014
Abstract The current research explored the possibility of using attribute ratings as a variant (RATA: rate-all-that-apply) to CATA questions (check-all-that-apply), in order to improve sample description and discrimination and to engage participants in greater cognitive processing. The RATA question variant was implemented by asking participants, for
Gastón Ares   +8 more
openaire   +1 more source

Rate‐All‐That‐Apply (RATA) comparison of taste profiles for different sweeteners in black tea, chocolate milk, and natural yogurt

Journal of Food Science, 2020
Abstract Growing health concerns have increased interest in reducing the consumption of added sugars, which can be achieved by substituting or replacing sugar with sweeteners to maintain sensory intensity and quality.
Vicki Wei Kee Tan   +3 more
openaire   +2 more sources

Comparison of Pivot Profile (PP), Rate-All-That-Apply (RATA), and Pivot-CATA for the sensory profiling of commercial Chinese tea products

Food Research International, 2023
Rapid sensory profiling methods relying on consumers' perceptions are getting prevalent and broadly utilized by labs and companies to supersede conventional sensory profiling methodologies. Till now, various intensity-based sensory methods such as the newly proposed Pivot-Check-All-That-Apply (CATA) are limitedly developed and compared.
Shiqin Wang   +6 more
openaire   +2 more sources

The sensory profile of milk chocolates: Using the rate-all-that-apply (RATA) methodology

Journal of Consumer Sciences
The current challenging economic environment and move towards healthier choices are causing behavioural changes among consumers as they are shifting towards more economical purchases and perceived healthier chocolate products. To match consumers’ recent expectations and stay competitive in the local confectionary market, the determination of sensory ...
Taljaard, I, Mielmann, A, le Roux, N
openaire   +2 more sources

Visual attention to rate-all-that-apply (RATA) questions: A case study with apple images as food stimuli

Food Quality and Preference, 2019
Abstract The check-all-that-apply (CATA) question format and variants hereof have become very popular in sensory and consumer research. In the present study, focus is directed to rate-all-that-apply (RATA) questions where participants in addition to selecting terms that are applicable for describing a focal stimulus must also indicate if this term ...
Lucía Antúnez   +3 more
openaire   +1 more source

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