{"id":885,"date":"2016-07-29T13:28:11","date_gmt":"2016-07-29T17:28:11","guid":{"rendered":"https:\/\/secure.compusense.com\/?p=885"},"modified":"2018-03-16T13:30:38","modified_gmt":"2018-03-16T17:30:38","slug":"appropriate-methods-of-imputation-for-consumer-hedonic-data","status":"publish","type":"post","link":"https:\/\/secure.compusense.com\/research\/appropriate-methods-of-imputation-for-consumer-hedonic-data\/","title":{"rendered":"Appropriate Methods of Imputation for Consumer Hedonic Data"},"content":{"rendered":"<p>The challenge is to perform appropriate data imputation for 570 consumers, each of whom evaluates 6 brown breads in a 16-present-6 sensory-informed balanced incomplete block design.<!--more--> These data were previously analyzed and discussed [1]. Data are available (i) in the R package sensory (see bbread), and (ii) on the Sensometrics Data Set Repository (see Brown Bread data). [1] Franczak, B. C., Browne, R. P., McNicholas, P. D. &amp; Findlay, C. J. (2015). Product selection for liking studies: The sensory informed design<em>. Food Quality and Preference<\/em>, 44, 36\u201343.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-250\" src=\"https:\/\/secure.compusense.com\/wp-content\/uploads\/2017\/02\/Line-300x9.png\" alt=\"\" width=\"467\" height=\"14\" srcset=\"https:\/\/secure.compusense.com\/wp-content\/uploads\/2017\/02\/Line-300x9.png 300w, https:\/\/secure.compusense.com\/wp-content\/uploads\/2017\/02\/Line.png 548w\" sizes=\"(max-width: 467px) 100vw, 467px\" \/><\/p>\n<p>Findlay, C. J., Castura, J. C., &amp; McNicholas, P. D. (Eds). (2016). Data Analysis Workshop: Appropriate Methods of Imputation for Consumer Hedonic Data. In: 13th Sensometrics Meeting. 27-29 July. Brighton, UK. (Chair: Findlay, C. J.; Presenters: P. D. McNicholas, E. Vigneau, &amp; P. Schlich).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The challenge is to perform appropriate data imputation for 570 consumers, each of whom evaluates 6 brown breads in a 16-present-6 sensory-informed balanced incomplete block design.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[28],"tags":[19,61],"_links":{"self":[{"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/posts\/885"}],"collection":[{"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/comments?post=885"}],"version-history":[{"count":1,"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/posts\/885\/revisions"}],"predecessor-version":[{"id":886,"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/posts\/885\/revisions\/886"}],"wp:attachment":[{"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/media?parent=885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/categories?post=885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/secure.compusense.com\/research\/wp-json\/wp\/v2\/tags?post=885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}