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

By G. Ares, Fernanda Bruzzone, Leticia Vidal, R. Cadena, A. Giménez, B. Pineau, D. Hunter, Amy G. Paisley, S. Jaeger. 2014

275 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Food Science, Nutrition and Dietetics

View Paper: https://www.semanticscholar.org/paper/d873ae38748ec3f74de0dc549d9890ff2a19106b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Experimental and Cognitive Psychology

1. Betina Piqueras-Fiszman
2. Charles Spence

In Food Science

1. Anna M. Crump
2. Lukas Danner
3. Betina Piqueras-Fiszman
4. J. Gambetta
5. C. de Graaf
6. T. Johnson
7. E. Scholten
8. M. Stieger

In Nutrition and Dietetics

1. Anna M. Crump
2. Lukas Danner
3. Betina Piqueras-Fiszman
4. J. Gambetta
5. C. de Graaf
6. T. Johnson
7. E. Scholten
8. M. Stieger

Citations in the corpus

• Comparison of Rate-All-That-Apply (RATA) and Descriptive sensory Analysis (DA) of model double emulsions with subtle perceptual differences (2017, background): “In order to fully investigate the data and compare results to similar studies (Ares et al., 2014; Meyners et al., 2016), RATA data were explored by the frequency of term selection only (treated as CATA data and not taking into account the intensity ratings of selected terms) as well as their…”
• Comparison of Rate-All-That-Apply and Descriptive Analysis for the Sensory Profiling of Wine (2018, methodology): “Although several studies have shown the potential of rapid methods to profile food products (e.g., Ares et al. 2014a, Giacalone and Hedelund 2016, Oppermann et al. 2016), few have investigated their applicability to complex commercial products such as wine (Sáenz-Navajas et al. 2017).”