{"id":57859,"date":"2018-06-01T06:29:37","date_gmt":"2018-06-01T13:29:37","guid":{"rendered":"https:\/\/www.questionpro.com\/blog\/?p=57859"},"modified":"2023-08-10T07:07:05","modified_gmt":"2023-08-10T07:07:05","slug":"ordinal-scale","status":"publish","type":"post","link":"https:\/\/www.questionpro.com\/blog\/ordinal-scale\/","title":{"rendered":"Ordinal Scale: Definition, Level of Measurement and Examples"},"content":{"rendered":"<h2>Ordinal Scale Definition<\/h2>\n<p><span style=\"font-weight: 400;\">Ordinal scale is the 2nd\u00a0<a href=\"https:\/\/www.questionpro.com\/blog\/nominal-ordinal-interval-ratio\/\">level of measurement<\/a> that reports the ranking and ordering of the data without actually establishing the degree of variation between them. Ordinal level of measurement is the second of the four measurement scales. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cOrdinal\u201d indicates \u201corder\u201d. Ordinal data is <a href=\"https:\/\/www.questionpro.com\/blog\/quantitative-data\/\">quantitative data<\/a> which have naturally occurring orders and the difference between is unknown. It can be named, grouped and also ranked.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example:<\/span><\/p>\n<table class=\"table-border\">\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">\u201cHow satisfied are you with our products?\u201d <\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">1- Totally Satisfied<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">2- Satisfied <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">3- Neutral <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">4- Dissatisfied <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">5- Totally Dissatisfied<\/span><\/li>\n<\/ul>\n<\/td>\n<td><span style=\"font-weight: 400;\">\u201cHow happy are you with the customer service?\u201d<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">1- Very Unhappy<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">2- Unhappy<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">3- Neutral <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">4- Unhappy<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">5- Very Unhappy<\/span><\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.questionpro.com\/features\/survey-respondents.html\">Survey respondents<\/a> will choose between these options of satisfaction but the answer to \u201chow much?\u201d will remain unanswered. The understanding of various scales helps statisticians and researchers so that the use of data analysis techniques can be applied accordingly.<\/span><\/p>\n<p style=\"text-align: center;\"><em><strong>LEARN ABOUT:<\/strong> <a href=\"https:\/\/www.questionpro.com\/blog\/level-of-analysis\/\">Level of Analysis<\/a><\/em><\/p>\n<p><span style=\"font-weight: 400;\">Thus, an ordinal scale is used as a comparison parameter to understand whether the variables are greater or lesser than one another using sorting. The central tendency of the ordinal scale is Median.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.questionpro.com\/article\/likert-scale-survey-questions.html\">Likert Scale<\/a> is an example of why the interval difference between ordinal variables cannot be concluded. In this scale the answer options usually polar such as, \u201cTotally satisfied\u201d to \u201cTotally dissatisfied\u201d. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The intensity of difference between these options can\u2019t be related to specific values as the difference value between totally satisfied and totally dissatisfied will be much larger than the difference between satisfied and neutral. If someone loves Mercedes Benz cars and is asked \u201cHow likely are you to recommend Mercedes Benz to your friends and family?\u201d will be troubled to choose between Extremely likely and Likely. Thus, an ordinal scale is used when the order of options is to be deduced and not when the interval difference is also to be established.<\/span><\/p>\n<h2>Ordinal Characteristics<\/h2>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Along with identifying and describing the magnitude, the ordinal scale shows the relative rank of variables.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The properties of the interval are not known. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Measurement of non-numeric attributes such as frequency, satisfaction, happiness etc. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">In addition to the information provided by <a href=\"https:\/\/www.questionpro.com\/blog\/nominal-scale\/\">nominal scale<\/a>, ordinal scale identifies the rank of variables. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Using this scale, survey makers can analyze the degree of agreement among respondents with respect to the identified order of the variables.<\/span><\/li>\n<\/ul>\n<h2>Advantages of Ordinal Scale<\/h2>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The primary advantage of using ordinal scale is the ease of comparison between variables. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Extremely convenient to group the variables after ordering them. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Effectively used in <a href=\"https:\/\/www.questionpro.com\/blog\/surveys\/\">surveys<\/a>, <\/span><a href=\"https:\/\/www.questionpro.com\/online-poll.html\"><span style=\"font-weight: 400;\">polls<\/span><\/a><span style=\"font-weight: 400;\">, and <\/span><a href=\"https:\/\/www.questionpro.com\/blog\/what-is-a-questionnaire\/\"><span style=\"font-weight: 400;\">questionnaires<\/span><\/a><span style=\"font-weight: 400;\"> due to the simplicity of analysis and categorization. Collected responses are easily compared to draw impactful conclusions about the target audience. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">As the values are indicated in a relative manner using a linear <a href=\"https:\/\/www.questionpro.com\/rating-scale.html\">rating scale<\/a>, the results are more informative than the <a href=\"https:\/\/www.questionpro.com\/blog\/nominal-data\/\">nominal data<\/a>.<\/span><\/li>\n<\/ul>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-120796 size-full\" style=\"font-size: 16px;\" src=\"https:\/\/www.questionpro.com\/blog\/wp-content\/uploads\/2018\/06\/43-Adventages-of-Ordinal-Scale.jpg\" alt=\"Adventages of Ordinal Scale\" width=\"992\" height=\"489\" \/><\/h2>\n<p style=\"text-align: center;\">Learn about:\u00a0<a href=\"https:\/\/www.questionpro.com\/blog\/interval-scale\/\">Interval Scale<\/a> and <a href=\"https:\/\/www.questionpro.com\/blog\/ratio-scale\/\">Ratio Scale<\/a><\/p>\n<h3>Ordinal Examples<\/h3>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Ranking of high school students &#8211; 1st, 3rd, 4th, 10th&#8230; Nth. A student scoring 99\/100 would be the 1st rank, another student scoring 92\/100 would be 3rd and so on and so forth. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Rating surveys in restaurants &#8211; \u00a0When a waiter gets a paper or <a href=\"https:\/\/www.questionpro.com\/blog\/what-are-online-surveys\/\">online survey<\/a> with a question: \u201cHow satisfied are you with the dining experience?\u201d having 0-10 option, 0 being extremely dissatisfied and 10 being extremely satisfied. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Likert Scale &#8211; The <\/span><a href=\"https:\/\/www.questionpro.com\/blog\/what-is-likert-scale\/\"><span style=\"font-weight: 400;\">Likert scale<\/span><\/a><span style=\"font-weight: 400;\"> is a variant of the ordinal scale that is used to calculate <a href=\"https:\/\/www.questionpro.com\/survey-templates\/customer-satisfaction-surveys\/\">customer<\/a> or <a href=\"https:\/\/www.questionpro.com\/blog\/employee-satisfaction-survey-questions\/\">employee satisfaction<\/a>. <\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-58391 size-full\" src=\"https:\/\/www.questionpro.com\/blog\/wp-content\/uploads\/2018\/06\/Liker-Scale-Example_4.jpg\" alt=\"Liker Scale Example\" width=\"800\" height=\"300\" \/><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Understanding the socio-economic background of the target <\/span><a href=\"https:\/\/www.questionpro.com\/audience\/\"><span style=\"font-weight: 400;\">audience <\/span><\/a><span style=\"font-weight: 400;\">&#8211; Rich, middle class, poor etc. fall under the <a href=\"https:\/\/www.questionpro.com\/blog\/ordinal-data\/\">ordinal data<\/a> category. <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The frequency of occurrence &#8211; Questions such as \u201cHow frequently do you have to get the phone repaired?\u201d <\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Very often <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Often <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Not Often <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Not at all <\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Evaluating the degree of agreement &#8211; State your level of agreement with the company policies:<\/span>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Totally agree<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Agree<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Neutral <\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Disagree<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Totally disagree<\/span><\/li>\n<\/ul>\n<\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Understanding preferences: If a marketer conducts\u00a0<\/span><span style=\"font-weight: 400;\">surveys<\/span><span style=\"font-weight: 400;\"> to understand which laptop brand do their respondents do not prefer, they can use the ordinal scale.\u00a0<\/span><span style=\"font-weight: 400;\">Out of the five mentioned laptop brand, rate the order of preference &#8211;<\/span>\n<ul>\n<li><span style=\"font-weight: 400;\">\u00a0HP<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Apple<\/span><\/li>\n<li>Lenovo<\/li>\n<li><span style=\"font-weight: 400;\">Dell<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Acer<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><em><strong>LEARN ABOUT:<\/strong> <a href=\"https:\/\/www.questionpro.com\/blog\/average-order-value\/\">Average Order Value<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ordinal Scale Definition Ordinal scale is the 2nd\u00a0level of measurement that reports the ranking and ordering of the data without [&hellip;]<\/p>\n","protected":false},"author":86,"featured_media":57872,"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":[203],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Ordinal Scale: Definition and Examples | QuestionPro<\/title>\n<meta name=\"description\" content=\"Ordinal scale is the 2nd level of measurement that reports the ranking and ordering of the data without establishing 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