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相关概念视频

Nominal Level of Measurement00:56

Nominal Level of Measurement

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...
Ordinal Level of Measurement00:55

Ordinal Level of Measurement

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. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Interval Level of Measurement00:55

Interval Level of Measurement

For effective statistical analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using the interval scale are similar to ordinal level data because they have a definite arrangement. However, in the interval level of measurement, the differences between data values are meaningful even though the data does not have a starting point.
Temperature is measured using the interval scale. It is measurable data, and the difference between the...
Ratio Level of Measurement00:54

Ratio Level of Measurement

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. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated. For...
SI Units: 2019 Redefinition01:13

SI Units: 2019 Redefinition

Measurement is an indispensable part of analytical chemistry. The result of measurement helps quantify a substance's physical property and compare it with the physical property of another substance. Each measurement comprises two components - a number indicating the magnitude and a unit of measurement as a standard for comparison. Further, the same quantity can be measured using different units of measurement, which leads to differences in magnitude.
A standard set of units has been defined to...
Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.

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相关实验视频

Updated: Jul 12, 2026

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
16:23

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

Published on: February 26, 2014

下一类:定义和测量

R B Mincy, I V Sawhill, D A Wolf

    Science (New York, N.Y.)
    |April 27, 1990
    PubMed
    概括
    此摘要是机器生成的。

    "底层阶级"一词缺乏明确的定义,但研究表明它很小,但仍在增长. 专注于持续贫困或高贫困社区的定义会影响有关贫困规模和趋势的结论.

    更多相关视频

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
    13:04

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

    Published on: September 19, 2012

    Assessment of Child Anthropometry in a Large Epidemiologic Study
    09:36

    Assessment of Child Anthropometry in a Large Epidemiologic Study

    Published on: February 2, 2017

    相关实验视频

    Last Updated: Jul 12, 2026

    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
    16:23

    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

    Published on: February 26, 2014

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
    13:04

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

    Published on: September 19, 2012

    Assessment of Child Anthropometry in a Large Epidemiologic Study
    09:36

    Assessment of Child Anthropometry in a Large Epidemiologic Study

    Published on: February 2, 2017

    科学领域:

    • 社会科学 社会科学 社会科学
    • 社会学 社会学 社会学
    • 经济学 经济学 经济学

    背景情况:

    • "下层阶级"一词在公共话语和社会科学中经常被使用.
    • 然而,直到最近,还没有准确的定义和量化.

    研究的目的:

    • 审查关于"下层"的定义和定量证据.
    • 分析不同定义对下层阶级规模和增长估计的影响.

    主要方法:

    • 分析了关于底层阶级的定量导向文献.
    • 检查强调持续贫困的定义.
    • 根据居住在高贫困或高功能障碍行为社区的定义进行评估.

    主要成果:

    • 关于下层阶级的结论是敏感的选择定义.
    • 大多数证据表明,下层阶级目前很小.
    • 现有数据表明,下层阶级人口的趋势越来越大.

    结论:

    • "下层阶级"是一个复杂的社会现象,需要明确的定义.
    • 定量研究表明,底层阶级是人口中不断增长的,尽管很小的部分.
    • 需要进一步的研究来完善定义并追踪下层阶级的趋势.