

{"id":105089,"date":"2020-06-16T23:48:31","date_gmt":"2020-06-17T06:48:31","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/?p=105089"},"modified":"2024-01-08T08:22:34","modified_gmt":"2024-01-08T08:22:34","slug":"webinar-anchored-max-diff-scaling","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/","title":{"rendered":"[Webinar Recap] Anchored MaxDiff Scaling"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">If you weren&#8217;t able to make it to the kick off of our conversation around Anchored <a href=\"https:\/\/www.questionpro.com\/max-diff\/\">MaxDiff<\/a> then we have got you covered. We were joined by Scott &amp; Chris from DeckChair Data to talk about <a href=\"https:\/\/www.questionpro.com\/blog\/a-beginners-guide-to-maxdiff-scaling-free-webinar\/\">MaxDiff Scaling<\/a> and introducing the concept of &#8220;Anchoring&#8221; to give better meaning to the <a href=\"https:\/\/www.questionpro.com\/blog\/webinar-follow-up-why-you-need-to-use-maxdifference-maxdiff-scaling-of-importance-over-rating-scales\/\">MaxDiff<\/a> share of preference calculations &amp; models.<\/span><a href=\"https:\/\/www.questionpro.com\/blog\/anchored-maxdiff-scaling-making-maxdiff-bulletproof\/\"> <span style=\"font-weight: 400;\">Anchored Max-Diff<\/span><\/a><span style=\"font-weight: 400;\"> allows us to scale the relative scoring model down to an absolute scoring model.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Key takeaways<\/span><\/h2>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">MaxDiff is a great model for &#8220;discriminating&#8221; between a set of options. It has low cognitive stress on respondents and most folks can tell easily what&#8217;s their &#8220;best&#8221; and &#8220;worst&#8221; option given a set of choices. It also has a high discrimination value.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Anchoring allows us to determine a practical scale &#8211; what % of people would actually get affected \/ will buy \/ or will NOT buy. Creating logical benchmarks for the study.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The way you ask the &#8220;anchoring&#8221; question does matter. Eg: What amongst these options is a MUST HAVE. i.e Something that you cannot live without?<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Qual before Quant &#8211; make sure to use a qualitative exercise before running a large quantitative model to determine all the options that don&#8217;t have implicit bias. Avoid the red-bus\/blue bus problem; IIA (<\/span><a href=\"https:\/\/en.wikipedia.org\/wiki\/Independence_of_irrelevant_alternatives\"><span style=\"font-weight: 400;\">Independence of Irrelevant Alternatives)<\/span><\/a><\/p>\n<p style=\"text-align: center;\">LEARN ABOUT: <a href=\"https:\/\/www.questionpro.com\/blog\/implicit-data\/\">Implicit Data<\/a><\/p>\n<h2><span style=\"font-weight: 400;\">Resources<\/span><\/h2>\n<p><a href=\"https:\/\/www.questionpro.com\/help\/anchored-maxdiff.html\">Anchored Max Diff help file<\/a><br \/>\n<a href=\"https:\/\/docs.google.com\/presentation\/d\/11TyD35wfxZdufB4AJGfzjceLCE15B3SWwPpD8fk-rGQ\/edit?usp=sharing\">Anchored Max Diff \u2013 DataSheet<\/a><br \/>\nView the webinar slide deck:\u00a0<a href=\"https:\/\/docs.google.com\/presentation\/d\/1YZT4h4WM2Z9b24BYVnltaAxRh23fe53VOfSx1u8qXJQ\/edit#slide=id.p1\">click here<\/a><br \/>\nWatch the full webinar below:<\/p>\n<p><iframe loading=\"lazy\" title=\"QuestionPro Academic Webinar-Anchored Max Diff Analysis\" width=\"500\" height=\"375\" src=\"https:\/\/www.youtube.com\/embed\/tfu8yrHsBE8?start=1&#038;feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you weren&#8217;t able to make it to the kick off of our conversation around Anchored MaxDiff then we have [&hellip;]<\/p>\n","protected":false},"author":93,"featured_media":105136,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[250,203],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Webinar Recap] Anchored MaxDiff Scaling | QuestionPro<\/title>\n<meta name=\"description\" content=\"Anchored Max-Diff allows us to scale the relative scoring model down to an absolute scoring model. Learn more from our most recent webinar!\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Webinar Recap] Anchored MaxDiff Scaling | QuestionPro\" \/>\n<meta property=\"og:description\" content=\"Anchored Max-Diff allows us to scale the relative scoring model down to an absolute scoring model. Learn more from our most recent webinar!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/\" \/>\n<meta property=\"og:site_name\" content=\"QuestionPro\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/questionpro\" \/>\n<meta property=\"article:published_time\" content=\"2020-06-17T06:48:31+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-01-08T08:22:34+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.questionpro.com\/blog\/wp-content\/uploads\/2020\/06\/CW-blog-images-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"992\" \/>\n\t<meta property=\"og:image:height\" content=\"594\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Vivek Bhaskaran\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@questionpro\" \/>\n<meta name=\"twitter:site\" content=\"@questionpro\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Vivek Bhaskaran\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/\"},\"author\":{\"name\":\"Vivek Bhaskaran\",\"@id\":\"https:\/\/www.questionpro.com\/blog\/#\/schema\/person\/390ab9de2ef0555603e5730348b70448\"},\"headline\":\"[Webinar Recap] Anchored MaxDiff Scaling\",\"datePublished\":\"2020-06-17T06:48:31+00:00\",\"dateModified\":\"2024-01-08T08:22:34+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/\"},\"wordCount\":258,\"publisher\":{\"@id\":\"https:\/\/www.questionpro.com\/blog\/#organization\"},\"articleSection\":[\"Consumer Insights\",\"Market Research\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/\",\"url\":\"https:\/\/www.questionpro.com\/blog\/webinar-anchored-max-diff-scaling\/\",\"name\":\"[Webinar Recap] Anchored MaxDiff Scaling | QuestionPro\",\"isPartOf\":{\"@id\":\"https:\/\/www.questionpro.com\/blog\/#website\"},\"datePublished\":\"2020-06-17T06:48:31+00:00\",\"dateModified\":\"2024-01-08T08:22:34+00:00\",\"description\":\"Anchored Max-Diff allows us to scale the relative scoring model down to an absolute scoring model. 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