测量量表

F. Pyrczak, Deborah M. Oh
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摘要

假设你是一位心理学家,你想做一项研究,看看吃早餐是否能帮助孩子集中注意力。你认为吃健康早餐的学生会在数学测试中做得最好,吃不健康早餐的学生会在数学测试中表现平平,而不吃早餐的学生会在数学测试中做得最差。那你是怎么学习的?你从哪里开始呢?在研究中,你要做的第一件事就是确定你的变量,或可以改变的因素。例如,一个人是否吃早餐是一个变量,它因人而异,可能每天都不一样。一个人可以吃健康的早餐,吃不健康的早餐,或者根本不吃早餐。如果吃早餐没有变化,每个人每天早上都会吃完全一样的东西。同样,数学考试的成绩也是一个变量,因为它因人而异。苏西可能会在数学测验中做得很好,而乔纳斯却不及格。或者苏西今天可能做得很好,但明天就不那么好了。不管是什么原因,数学测验的分数是变化的,因此,它们是变量。我们知道我们的变量是吃早餐和数学成绩。但我们如何衡量它们呢?变量的测量有四种主要尺度(或类型):标称尺度、序数尺度、间隔尺度和比例尺度。测量的尺度取决于变量本身。让我们仔细看看这四种尺度,以及每种类型的变量。
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Scales of Measurement
Imagine that you are a psychologist, and you want to do a study to see whether eating breakfast will help kids focus. You think that the students who eat a healthy breakfast will do best on a math quiz, students who eat an unhealthy breakfast will perform in the middle and students who do not eat anything for breakfast will do the worst on a math quiz. So, how do you do your study? Where do you even begin? In research, one of the first things that you have to do is identify your variables, or factors that can change. For example, whether a person eats breakfast or not is a variable it varies from person to person and perhaps from day to day. A person can eat a healthy breakfast, eat an unhealthy breakfast or not eat breakfast at all. If eating breakfast did not vary, every single person would eat the exact same thing for breakfast every single morning. Likewise, performance on a math test is a variable because it varies from person to person. Susie might do great on a math quiz, while Jonas fails it. Or Susie might do well today but not as well tomorrow. Whatever the reason, scores on a math quiz change, and therefore, they are variables. So we know that our variables are eating breakfast and math performance. But how do we measure them? There are four major scales (or types) of measurement of variables: nominal, ordinal, interval and ratio. The scale of measurement depends on the variable itself. Let's look closer at each of the four scales and what types of variables fall into each category.
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Mean, Median, and Mode Coefficient of Determination Range and Interquartile Range Introduction to Hypothesis Testing Correlation
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