We’ll briefly introduce the four different types of data, before defining what nominal data is and providing some examples. We’ll then look at how nominal data can be collected and analyzed. If you want to skip ahead to a specific section, just use the clickable menu. An introduction to...
Examples of nominal data How to collect nominal data How to analyze nominal data Other interesting articles Levels of measurement The level of measurement indicates how precisely data is recorded. There are 4 hierarchical levels: nominal, ordinal, interval, and ratio. The higher the level, the mor...
(1)norminal data: 反映对象属于哪一类,各类别之间没有先后之分。比如 性别(男/女),肤色(白/黄/黑),国籍(中国/英国/法国/其他)等; (2)ordinal data:也是反映对象属于哪一类,但各类之间有程度上的区别。比如 收入(高/中/低),顾客满意度(满意/一般/不满意)等; (3)interval data: 用数字定量地描述变量程...
Interval levelExamples of interval scales You can categorize, rank, and infer equal intervals between neighboring data points, but there is no true zero point. The difference between any two adjacent temperatures is the same: one degree. But zero degrees is defined differently depending on the sca...
Examples of Nominal Scales Note: a sub-type of nominal scale with only two categories (e.g. male/female) is called “dichotomous.” If you are a student, you can use that to impress your teacher. Bonus Note #2: Other sub-types of nominal data are “nominal with order” (like “co...
Ordinal scales are made up of ordinal data. Some examples of ordinal scales: High school class rankings: 1st, 2nd, 3rd etc. Social economic class: working, middle, upper. The Likert Scale: agree, strongly agree, disagree etc. TheLikert Scalegives another example of how you can’t be sure...
Nominal Data Non Value-Added Inventory Turns
等比尺度（Ratio measurements）拥有零值及资料间的距离是相等被定义的；等距尺度（Interval measurements）资料间的距离是相等被定义的但是它的零值并非绝对的无而是自行定义的（如智力或温度的测量）；顺序尺度（ Ordinal measurements）的意义并非表现在其值而是在其顺序之上；名目尺度（Nominal measurements）的...
What is ordinal data? Ordinal data kicks things up a notch. It’s the same as nominal data in that it’s looking at categories, but unlike nominal data, there is also a meaningful order or rank between the options. Here are some examples of ordinal data: ...
Ordinal scales are made up of ordinal data. Some examples of ordinal scales: High school class rankings: 1st, 2nd, 3rd etc. Social economic class: working, middle, upper. The Likert Scale: agree, strongly agree, disagree etc. TheLikert Scalegives another example of how you can’t be sure...