資料的4種(變數)型態與 MEASUREMENT SCALES
Nominal
用一個名稱(Label)來表示分類其選擇
Let’s start with the easiest one to understand. Nominal scales are used for labeling variables, without any quantitative value. “Nominal” scales could simply be called “labels.”
Ordinal
Ordinal scales are typically measures of non-numeric concepts like satisfaction, happiness, discomfort, etc.
有次序關係: 非常滿意、滿意、普通、不滿意 、非常不滿意
“Ordinal” is easy to remember because is sounds like “order” and that’s the key to remember with “ordinal scales”–it is the order that matters, but that’s all you really get from these.
Interval ==> +, 1
Like the others, you can remember the key points of an “interval scale” pretty easily. “Interval” itself means “space in between,” which is the important thing to remember–interval scales not only tell us about order, but also about the value between each item.
有次序關係: 非常滿意、滿意、普通、不滿意 、非常不滿意
Ratio ==> +, - x /
一般Rational Number 有理數 (即整數與可化為"分數"的數都是有理數), 有理數可以做加減乘除
Ratio scales provide a wealth of possibilities when it comes to statistical analysis.
Summary
In summary, nominal variables are used to “name,” or label a series of values. Ordinal scales provide good information about the order of choices, such as in a customer satisfaction survey. Interval scales give us the order of values + the ability to quantify the difference between each one. Finally, Ratio scales give us the ultimate–order, interval values, plus the ability to calculate ratios since a “true zero” can be defined.
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