1.4: 标称测量水平

Nominal Level of Measurement
JoVE Core
Statistics
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JoVE Core Statistics
Nominal Level of Measurement

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00:56 min
April 30, 2023

Overview

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.

The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal scale is qualitative (categorical). Categories, colors, names, labels, favorite foods, and ‘yes’ or ‘no’ responses are examples of nominal level data. For example, one can group restaurants based on whether they serve vegetarian, non-vegetarian, or vegan diets. But one cannot measure how much healthier the diet of each restaurant is or how much more vegetarian it is than other restaurants.

This text is adapted from Openstax, Introductory Statistics, Section 1.3 Frequency, Frequency Tables, and Levels of Measurement

Transcript

在统计中,数据的上下文对于决定正确的统计方法至关重要。例如,取所有数字的平均值来获得该类的公共电话号码是没有意义的。

为了进行分析,数据分为四个测量级别 – 名义、有序、区间和比率。

无法测量或排序但可以分组为类别的数据属于名义测量级别。例如,人们不能按特定顺序测量或放置发型,但可以将它们分组到不同的类别中。

尽管为了方便起见,可以对这些组进行编号,但这些数字之间的差异或这些数字的平均值是没有意义的。

诸如喜欢-不喜欢、是-否或政党隶属关系等调查回复也属于名义测量级别。

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