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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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/10/4/702 |
| _version_ | 1797540055833640960 |
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| author | Denis Richard Seninde Edgar Chambers |
| author_facet | Denis Richard Seninde Edgar Chambers |
| author_sort | Denis Richard Seninde |
| collection | DOAJ |
| 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 (<i>n</i> = 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. |
| first_indexed | 2024-03-10T12:54:40Z |
| format | Article |
| id | doaj.art-df5634f78915412b8759f3b364406a2d |
| institution | Directory Open Access Journal |
| issn | 2304-8158 |
| language | English |
| last_indexed | 2024-03-10T12:54:40Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj.art-df5634f78915412b8759f3b364406a2d2023-11-21T12:02:37ZengMDPI AGFoods2304-81582021-03-0110470210.3390/foods10040702Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five CountriesDenis Richard Seninde0Edgar Chambers1Center for Sensory Analysis and Consumer Behavior, Kansas State University, Manhattan, KS 66502, USACenter for Sensory Analysis and Consumer Behavior, Kansas State University, Manhattan, KS 66502, USARate 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 (<i>n</i> = 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.https://www.mdpi.com/2304-8158/10/4/702check-all-that-apply (CATA)rate all that apply (RATA)ratingrate all statementscheck all statementssurvey |
| spellingShingle | Denis Richard Seninde Edgar Chambers Comparing the Rate-All-That-Apply and Rate-All-Statements Question Formats across Five Countries Foods check-all-that-apply (CATA) rate all that apply (RATA) rating rate all statements check all statements survey |
| 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 | check-all-that-apply (CATA) rate all that apply (RATA) rating rate all statements check all statements survey |
| url | https://www.mdpi.com/2304-8158/10/4/702 |
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