Sara R. Jaeger, Sok L. Chheang, David Jin, Grace S. Ryan, Gastón Ares
{"title":"CATA问题是如何工作的?选择术语的可能性与感知属性强度的关系","authors":"Sara R. Jaeger, Sok L. Chheang, David Jin, Grace S. Ryan, Gastón Ares","doi":"10.1111/joss.12833","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>The present research contributed to a better understanding of how check-all-that-apply (CATA) questions work by examining the relationship between likelihood of selecting a term and perceived attribute intensity. Seven consumer studies were conducted (147–157 people per study) using within-subjects experimental designs where participants twice evaluated the same set of stimuli on the same set of terms (or attributes), respectively with CATA questions and intensity scaling (7-point category scale; 1 = “not at all,” 7 = “extremely”). As a function of perceived intensity, the average CATA citation frequency tended to follow a sigmoidal-like relationship where likelihood of selecting a CATA term increased more slowly at the extreme ends of the intensity scale (1–2 and 6–7) and linearly otherwise. This illuminates why for a given term, CATA questions are less suited for discriminating between samples that are of similar “low” or “high” intensity.</p>\n </section>\n \n <section>\n \n <h3> Practical Applications</h3>\n \n <p>CATA questions are popular for sensory product characterization tasks with consumers. Despite their simplicity, they accurately discriminate among samples, and term citation frequency is a proxy for perceived intensity, albeit not a direct measure hereof. Versatility and applicability of CATA questions to characterize diverse stimuli using diverse types of terms/attributes was demonstrated. By showing that likelihood of CATA term selection typically increases with perceived intensity according to a sigmoidal-like shape, the present research shows that CATA terms best discriminate between samples when these vary in intensity rather than being of similar “low” or “high” perceived intensity.</p>\n </section>\n </div>","PeriodicalId":17223,"journal":{"name":"Journal of Sensory Studies","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/joss.12833","citationCount":"2","resultStr":"{\"title\":\"How do CATA questions work? Relationship between likelihood of selecting a term and perceived attribute intensity\",\"authors\":\"Sara R. Jaeger, Sok L. Chheang, David Jin, Grace S. Ryan, Gastón Ares\",\"doi\":\"10.1111/joss.12833\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <p>The present research contributed to a better understanding of how check-all-that-apply (CATA) questions work by examining the relationship between likelihood of selecting a term and perceived attribute intensity. Seven consumer studies were conducted (147–157 people per study) using within-subjects experimental designs where participants twice evaluated the same set of stimuli on the same set of terms (or attributes), respectively with CATA questions and intensity scaling (7-point category scale; 1 = “not at all,” 7 = “extremely”). As a function of perceived intensity, the average CATA citation frequency tended to follow a sigmoidal-like relationship where likelihood of selecting a CATA term increased more slowly at the extreme ends of the intensity scale (1–2 and 6–7) and linearly otherwise. This illuminates why for a given term, CATA questions are less suited for discriminating between samples that are of similar “low” or “high” intensity.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Practical Applications</h3>\\n \\n <p>CATA questions are popular for sensory product characterization tasks with consumers. Despite their simplicity, they accurately discriminate among samples, and term citation frequency is a proxy for perceived intensity, albeit not a direct measure hereof. Versatility and applicability of CATA questions to characterize diverse stimuli using diverse types of terms/attributes was demonstrated. By showing that likelihood of CATA term selection typically increases with perceived intensity according to a sigmoidal-like shape, the present research shows that CATA terms best discriminate between samples when these vary in intensity rather than being of similar “low” or “high” perceived intensity.</p>\\n </section>\\n </div>\",\"PeriodicalId\":17223,\"journal\":{\"name\":\"Journal of Sensory Studies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/joss.12833\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Sensory Studies\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/joss.12833\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Sensory Studies","FirstCategoryId":"97","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/joss.12833","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
How do CATA questions work? Relationship between likelihood of selecting a term and perceived attribute intensity
The present research contributed to a better understanding of how check-all-that-apply (CATA) questions work by examining the relationship between likelihood of selecting a term and perceived attribute intensity. Seven consumer studies were conducted (147–157 people per study) using within-subjects experimental designs where participants twice evaluated the same set of stimuli on the same set of terms (or attributes), respectively with CATA questions and intensity scaling (7-point category scale; 1 = “not at all,” 7 = “extremely”). As a function of perceived intensity, the average CATA citation frequency tended to follow a sigmoidal-like relationship where likelihood of selecting a CATA term increased more slowly at the extreme ends of the intensity scale (1–2 and 6–7) and linearly otherwise. This illuminates why for a given term, CATA questions are less suited for discriminating between samples that are of similar “low” or “high” intensity.
Practical Applications
CATA questions are popular for sensory product characterization tasks with consumers. Despite their simplicity, they accurately discriminate among samples, and term citation frequency is a proxy for perceived intensity, albeit not a direct measure hereof. Versatility and applicability of CATA questions to characterize diverse stimuli using diverse types of terms/attributes was demonstrated. By showing that likelihood of CATA term selection typically increases with perceived intensity according to a sigmoidal-like shape, the present research shows that CATA terms best discriminate between samples when these vary in intensity rather than being of similar “low” or “high” perceived intensity.
期刊介绍:
The Journal of Sensory Studies publishes original research and review articles, as well as expository and tutorial papers focusing on observational and experimental studies that lead to development and application of sensory and consumer (including behavior) methods to products such as food and beverage, medical, agricultural, biological, pharmaceutical, cosmetics, or other materials; information such as marketing and consumer information; or improvement of services based on sensory methods. All papers should show some advancement of sensory science in terms of methods. The journal does NOT publish papers that focus primarily on the application of standard sensory techniques to experimental variations in products unless the authors can show a unique application of sensory in an unusual way or in a new product category where sensory methods usually have not been applied.