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Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries

Rate All That Apply (RATA) is a derivative of the popularly used Check-All-That-Apply (CATA) question format. For RATA, consumers select all terms or statements that apply from a given list and then continue to rate those selected based on how much they apply. With Rate All Statements (RATING), a wi...

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Autores principales: Seninde, Denis Richard, Chambers, Edgar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064448/
https://www.ncbi.nlm.nih.gov/pubmed/33806134
http://dx.doi.org/10.3390/foods10040702
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author Seninde, Denis Richard
Chambers, Edgar
author_facet Seninde, Denis Richard
Chambers, Edgar
author_sort Seninde, Denis Richard
collection PubMed
description Rate All That Apply (RATA) is a derivative of the popularly used Check-All-That-Apply (CATA) question format. For RATA, consumers select all terms or statements that apply from a given list and then continue to rate those selected based on how much they apply. With Rate All Statements (RATING), a widely used standard format for testing, consumers are asked to rate all terms or statements according to how much they apply. Little is known of how the RATA and RATING question formats compare in terms of aspects such as attribute discrimination and sample differentiation. An online survey using either a RATA or RATING question format was conducted in five countries (Brazil, China, India, Spain, and the USA). Each respondent was randomly assigned one of the two question formats (n = 200 per country per format). Motivations for eating items that belong to five food groups (starch-rich, protein-rich, dairy, fruits and vegetables, and desserts) were assessed. More “apply” responses were found for all eating motivation constructs within RATING data than RATA data. Additionally, the standard indices showed that RATING discriminated more among motivations than RATA. Further, the RATING question format showed better discrimination ability among samples for all motivation constructs than RATA within all five countries. Generally, mean scores for motivations were higher when RATA was used, suggesting that consumers who might choose low numbers in the RATING method decide not to check the term in RATA. More investigation into the validity of RATA and RATING data is needed before use of either question format over the other can be recommended.
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spelling pubmed-80644482021-04-24 Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries Seninde, Denis Richard Chambers, Edgar Foods Article Rate All That Apply (RATA) is a derivative of the popularly used Check-All-That-Apply (CATA) question format. For RATA, consumers select all terms or statements that apply from a given list and then continue to rate those selected based on how much they apply. With Rate All Statements (RATING), a widely used standard format for testing, consumers are asked to rate all terms or statements according to how much they apply. Little is known of how the RATA and RATING question formats compare in terms of aspects such as attribute discrimination and sample differentiation. An online survey using either a RATA or RATING question format was conducted in five countries (Brazil, China, India, Spain, and the USA). Each respondent was randomly assigned one of the two question formats (n = 200 per country per format). Motivations for eating items that belong to five food groups (starch-rich, protein-rich, dairy, fruits and vegetables, and desserts) were assessed. More “apply” responses were found for all eating motivation constructs within RATING data than RATA data. Additionally, the standard indices showed that RATING discriminated more among motivations than RATA. Further, the RATING question format showed better discrimination ability among samples for all motivation constructs than RATA within all five countries. Generally, mean scores for motivations were higher when RATA was used, suggesting that consumers who might choose low numbers in the RATING method decide not to check the term in RATA. More investigation into the validity of RATA and RATING data is needed before use of either question format over the other can be recommended. MDPI 2021-03-25 /pmc/articles/PMC8064448/ /pubmed/33806134 http://dx.doi.org/10.3390/foods10040702 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Seninde, Denis Richard
Chambers, Edgar
Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries
title Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries
title_full Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries
title_fullStr Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries
title_full_unstemmed Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries
title_short Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries
title_sort comparing the rate-all-that-apply and rate-all-statements question formats across five countries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064448/
https://www.ncbi.nlm.nih.gov/pubmed/33806134
http://dx.doi.org/10.3390/foods10040702
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