{"id":920,"date":"2015-05-05T10:26:00","date_gmt":"2015-05-05T10:26:00","guid":{"rendered":"http:\/\/hamilton.global\/index.php\/2015\/05\/05\/knowing-more-about-the-maximum-difference-scaling-max-diff\/"},"modified":"2015-05-05T10:26:00","modified_gmt":"2015-05-05T10:26:00","slug":"knowing-more-about-the-maximum-difference-scaling-max-diff","status":"publish","type":"post","link":"https:\/\/hamilton.global\/ca\/knowing-more-about-the-maximum-difference-scaling-max-diff\/","title":{"rendered":"Knowing more about the Maximum Difference Scaling (MAX DIFF)"},"content":{"rendered":"<p><span lang=\"EN-US\" style=\"line-height: 115%;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Maximum Difference Scaling, tamb\u00e9 anomenat Best-Worst Scaling, \u00e9s approach per understanding la prefer\u00e8ncia i import\u00e0ncia dels resultats a trav\u00e9s d&#039;analitzar a <b>higher number of items<\/b> generating <b>discriminating results<\/b> as responents are asked to choose the &#039;Best&#039; and &#039;Worst&#039; option which simulates <b>real-world behavior<\/b>. Max diff is a <b>powerful tool<\/b> utilitzeu Hamilton per further understand and identify which atributes a product \/service \/ offer are most important.<\/span><\/span><br \/><span lang=\"EN-US\" style=\"line-height: 115%;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/p>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Tradicionalment, determineu la import\u00e0ncia d&#039;\u00edtems per a l&#039;interviewee, els atributs s&#039;han adquirit mitjan\u00e7ant rating Scales and\/ or Ranking Scales. Listed below are the main characteristics of each one:<o:p><\/o:p><\/span><\/span><\/div>\n<div><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><i><span lang=\"EN-US\">Rating Scales<\/span><\/i><\/b><span lang=\"EN-US\">: asking the respondents to choose one response category from several arrenged in hierarchical order. In example: how much do you agree or how satisfied are you, etc. The main <b>benefits<\/b> d&#039;avaluaci\u00f3 de valor s\u00f3n les que s\u00f3n a l&#039;hora, proveu data que s&#039;ha analyzat statistically i s&#039;estableix en repeated measures. Per contrast, els problemes principals s&#039;avaluaran que els resultats no s\u00f3n discriminats com a responedors temps que s\u00f3n importants, la valencia \u00e9s arbitr\u00e0ria i no \u00e9s treta la import\u00e0ncia i, a m\u00e9s, valoraci\u00f3 c\u00e0lides no s&#039;han fet a llarg llistat i depending on the country rating scales used are different.<o:p><\/o:p><\/span><\/span><\/div>\n<p><span lang=\"EN-US\" style=\"line-height: 115%;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">   <\/span><\/span><\/p>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Example of Rating Scale:<\/span><span style=\"font-family: Univers LT Pro 55, sans-serif;\"><o:p><\/o:p><\/span><\/span><\/div>\n<div><span lang=\"EN-US\" style=\"font-family: &quot;Univers LT Pro 55&quot;,&quot;sans-serif&quot;; mso-ansi-language: EN-US;\"><br \/><\/span><\/div>\n<div><span lang=\"EN-US\" style=\"font-family: &quot;Univers LT Pro 55&quot;,&quot;sans-serif&quot;; mso-ansi-language: EN-US;\"><br \/><\/span><\/div>\n<div style=\"clear: both; text-align: center;\"><a href=\"http:\/\/1.bp.blogspot.com\/-iN8llOMq8XA\/VUiaEGrxKUI\/AAAAAAAAAV0\/MLTqQ4v69EQ\/s1600\/Imagen1.2.png\" style=\"margin-left: 1em; margin-right: 1em;\"><img decoding=\"async\" border=\"0\" height=\"176\" src=\"http:\/\/1.bp.blogspot.com\/-iN8llOMq8XA\/VUiaEGrxKUI\/AAAAAAAAAV0\/MLTqQ4v69EQ\/s400\/Imagen1.2.png\" width=\"400\" \/><\/a><\/div>\n<div style=\"clear: both; text-align: center;\"><\/div>\n<p><\/p>\n<div style=\"clear: both; text-align: center;\"><\/div>\n<div><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><i><span lang=\"EN-US\">R\u00e0nquing Scales<\/span><\/i><\/b><span lang=\"EN-US\">: asking els responents a la vista dels seus ulls en llista d&#039;articles relatats, comparing diferents objectes per a un altre. Amb la utilitzaci\u00f3 d&#039;aquestes escales, interviewees per establir what matters i what doesn&#039;t matter. The main <b>benefits<\/b> les r\u00e0nquings cales s\u00f3n els que els elements receives a un r\u00e0nquing tan escaient que responen cannot assignar la seva valoraci\u00f3 a tots els elements, aix\u00ed com, la q\u00fcesti\u00f3 t\u00e8cnica for\u00e7a discriminaci\u00f3 entre els guanys, dels quals proves m\u00e9s statistical power. Otherwise, the main contres with ranking scales are that responents are good at picking the extrems but their preferences for any item in between might be fuzzy and inaccurate, this technique only explain the order of importance but no the strength of , cannot handle a long list of items \/ characteristics.<o:p><\/o:p><\/span><\/span><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"> <\/span><\/span><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Example of Ranking Scale:<\/span><span style=\"font-family: Univers LT Pro 55, sans-serif;\"><o:p><\/o:p><\/span><\/span><\/div>\n<div><span lang=\"EN-US\" style=\"font-family: &quot;Univers LT Pro 55&quot;,&quot;sans-serif&quot;; mso-ansi-language: EN-US;\"><br \/><\/span><\/div>\n<div style=\"clear: both; text-align: center;\"><a href=\"http:\/\/4.bp.blogspot.com\/-AcycDyj7an4\/VUiXekv8PaI\/AAAAAAAAAVo\/3P3rGdfj-1M\/s1600\/Imagen2.1.png\" style=\"margin-left: 1em; margin-right: 1em;\"><img decoding=\"async\" border=\"0\" height=\"166\" src=\"http:\/\/4.bp.blogspot.com\/-AcycDyj7an4\/VUiXekv8PaI\/AAAAAAAAAVo\/3P3rGdfj-1M\/s400\/Imagen2.1.png\" width=\"400\" \/><\/a><\/div>\n<div style=\"clear: both; text-align: center;\"><\/div>\n<div><span lang=\"EN-US\" style=\"font-family: &quot;Univers LT Pro 55&quot;,&quot;sans-serif&quot;; mso-ansi-language: EN-US;\"><br \/><\/span><\/div>\n<div><\/div>\n<div><b><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Which are the main characteristics and benefits of Max Diff Scales?<o:p><\/o:p><\/span><\/span><\/b><\/div>\n<ul style=\"margin-top: 0cm;\" type=\"disc\">\n<li><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Max Diff always generats <b>discriminating results<\/b> Les persones responen a la possibilitat d&#039;aconseguir el BEST and WORST option que simulates reals situacions (in reals de l&#039;individu que tenen choices i trade-offs no ordering o r\u00e0nquing, per exemple, en purchase in a supermarket). <o:p><\/o:p><\/span><\/span><\/li>\n<li><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Max Diff is a <b>simple method<\/b>     per a tots els targets involved in the project: researchers, end user and respondents. La q\u00fcesti\u00f3 \u00e9s simple per understand, els seus responents dels infants per a adults amb varietat d&#039;educatives i culturals d&#039;inter\u00e8s per proveir reliable data less monotonically. Per a researchers i end users \u00e9s f\u00e0cil d&#039;utilitzar-lo i aplicar-lo a una gran varietat de projectes i mercat de research situacions.<o:p><\/o:p><\/span><\/span><\/li>\n<li><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Since responents make choices rather than expressing strength of preference using some numeric scale, there is <b>no problems of scale use bias<\/b>, so cultural differences are absent in the Max Diff scales. Comparisons between items referenced against other attributes tested, rather than pre-defined points of a scale.<o:p><\/o:p><\/span><\/span><\/li>\n<li><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">In Max Diff scales <b>more items can be included<\/b> du a la q\u00fcesti\u00f3 \u00e9s simple performar i understand prove\u00eft per a analysts a prefer\u00e8ncies value per a l&#039;attribute reflectint el seu import\u00e0ncia important en comparaci\u00f3 amb altres.<\/span><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: Arial, Helvetica, sans-serif;\">Per a la metodologia del nivell, els responsents s\u00f3n els articles i les dades que es determinen per a la llista de les mostres importants per a les importants. Aquests articles no s&#039;asseuen en un temps. Els technical teams determinen que hi ha molts \u00edtems que es mostren i s&#039;han trobat els seus articles en tots els individus que tenen a trav\u00e9s d&#039;una manera de moure a la seg\u00fcent pregunta.<\/span><\/p>\n<div><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/div>\n<div><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/div>\n<div><span style=\"font-family: Arial, Helvetica, sans-serif;\">MaxDiff it&#039;s easy for researchers and responents. The studies with MaxDiff scales mai be conducted via CATI, CAPI and also PAPI, so the technique allows apply it through different research methodologies.<\/span><br \/><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><span style=\"font-family: Arial, Helvetica, sans-serif;\">Example of Max Diff Scale:<\/span><\/div>\n<div>\n<div style=\"clear: both; text-align: center;\"><\/div>\n<div style=\"clear: both; text-align: center;\"><\/div>\n<div style=\"clear: both; text-align: center;\"><a href=\"http:\/\/1.bp.blogspot.com\/-OJuo8szlsBA\/VUiVQTDFQYI\/AAAAAAAAAVc\/EN_0AY94mtA\/s1600\/Imagen3.3.png\" style=\"margin-left: 1em; margin-right: 1em;\"><img decoding=\"async\" border=\"0\" height=\"170\" src=\"http:\/\/1.bp.blogspot.com\/-OJuo8szlsBA\/VUiVQTDFQYI\/AAAAAAAAAVc\/EN_0AY94mtA\/s400\/Imagen3.3.png\" width=\"400\" \/><\/a><\/div>\n<div style=\"clear: both; text-align: center;\"><\/div>\n<div style=\"clear: both; text-align: center;\"><b><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/b><\/div>\n<div style=\"clear: both; text-align: center;\"><b><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/b><\/div>\n<div style=\"clear: both; text-align: left;\"><b><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">How to analyze the Max Diff Scales?<\/span><\/span><\/b><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Aquesta \u00e9s la teva main techniques que es pot utilitzar:<o:p><\/o:p><\/span><\/span><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><\/div>\n<ol start=\"1\" style=\"margin-top: 0cm;\" type=\"1\">\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l0 level1 lfo1;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><span lang=\"EN-US\">Count Analysis<\/span><\/b><span lang=\"EN-US\">: the simplest alternative, tallying of the number of times each item is chosen a &#039;Best or &#039;Worst&#039; important by respondents. A simple form of summarizing MaxDiff scores combines les dues measures: el percentatge d&#039;times que l&#039;attribute ha estat seleccionat al BEST, els percentatges dels temps dels elements ha estat seleccionat al WORST.<o:p><\/o:p><\/span><\/span><\/li>\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l0 level1 lfo1;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><span lang=\"EN-US\">Logit Model<\/span><\/b><span lang=\"EN-US\">: a m\u00e9s complexe per\u00f2 fast alternatiu, usant Logit model per obtenir l&#039;import\u00e0ncia valua de l&#039;atribut del percentatge d&#039;utilitat scale. <o:p><\/o:p><\/span><\/span><\/li>\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l0 level1 lfo1;\"><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b>Hierarchical Bayes or Latent Class<\/b>: a more advanced statistical technique that provides responent-level utilities and can be used in simulators or segments of respondents with similar needs \/ preferences<\/span><span style=\"font-family: Univers LT Pro 55, sans-serif;\">. <o:p><\/o:p><\/span><\/span><\/li>\n<\/ol>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><b><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">When can be used the Max Diff Scales?<o:p><\/o:p><\/span><\/span><\/b><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">The Max Diff method is similar to the <b>Conjoint Analysis<\/b> but molt easier to use and is applicable to a wider<b> type of studies<\/b> <b>and objectives<\/b> like:<o:p><\/o:p><\/span><\/span><\/div>\n<div style=\"margin-bottom: .0001pt; margin-bottom: 0cm;\"><\/div>\n<ul style=\"margin-top: 0cm;\" type=\"disc\">\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l1 level1 lfo2;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><span lang=\"EN-US\">Brand preferences<\/span><\/b><span lang=\"EN-US\">: to identify a brand market position, relative to its competitors.<o:p><\/o:p><\/span><\/span><\/li>\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l1 level1 lfo2;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><span lang=\"EN-US\">Advertising<\/span><\/b><span lang=\"EN-US\">: to identify which messages s\u00f3n most preferred by key targets.<o:p><\/o:p><\/span><\/span><\/li>\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l1 level1 lfo2;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><span lang=\"EN-US\">Concept and\/or product testing<\/span><\/b><span lang=\"EN-US\">: to determini which variety of products ha de greatest potential for success.<o:p><\/o:p><\/span><\/span><\/li>\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l1 level1 lfo2;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><span lang=\"EN-US\">Customer satisfaction<\/span><\/b><span lang=\"EN-US\">: per identificar key strengths and enhancement opportunities per improve quality index.<o:p><\/o:p><\/span><\/span><\/li>\n<li style=\"margin-bottom: .0001pt; margin-bottom: 0cm; mso-list: l1 level1 lfo2;\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><b><span lang=\"EN-US\">Needs-based studies<\/span><\/b><span lang=\"EN-US\">: to determini which attributes are critical vs. those consumers are willing to sacrifice.<o:p><\/o:p><\/span><\/span><\/li>\n<\/ul>\n<div><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Therefore, Max Diff \u00e9s un appropriate research tool que proveeix richer information o respondents prefer\u00e8ncies i atributs importants mitjan\u00e7ant trade-off analysis inst\u00e9ad traditional Ranking or Rating scales in robust easy application. <o:p><\/o:p><\/span><\/span><\/div>\n<div><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">                             <\/span><\/span><\/div>\n<div><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\"><br \/><\/span><\/span><\/div>\n<div><span lang=\"EN-US\"><span style=\"font-family: Arial, Helvetica, sans-serif;\">Jennifer Home<\/span><\/span><\/div>\n<div><span lang=\"EN-US\" style=\"font-family: &quot;Univers LT Pro 55&quot;,&quot;sans-serif&quot;; mso-ansi-language: EN-US;\"><br \/><\/span><\/div>\n<\/div>\n<span class=\"et_bloom_bottom_trigger\"><\/span>","protected":false},"excerpt":{"rendered":"<p>Maximum Difference Scaling, tamb\u00e9 anomenat Best-Worst Scaling, \u00e9s approach per understanding the preference and importance scores a trav\u00e9s de researchers per a analitzar a higher nombre d&#039;\u00edtems generats discriminating results als respondents are asked to choose the &#039; real-world behavior. Max diff is a powerful tool used by Hamilton to [\u2026 ]<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":""},"categories":[1],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Knowing more about the Maximum Difference Scaling (MAX DIFF) -<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hamilton.global\/ca\/knowing-more-about-the-maximum-difference-scaling-max-diff\/\" \/>\n<meta property=\"og:locale\" content=\"ca_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Knowing more about the Maximum Difference Scaling (MAX DIFF) -\" \/>\n<meta property=\"og:description\" content=\"Maximum Difference Scaling, also known as Best-Worst Scaling, is an approach for understanding the preference and importance scores allowing researchers to analyze a higher number of items generating discriminating results as respondents are asked to choose the \u2018Best\u2019 and \u2018Worst\u2019 option which simulates real-world behavior. 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