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関連する概念動画

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...
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...
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...
Measurement: Standard Units03:38

Measurement: Standard Units

Every measurement provides three kinds of information: the size or magnitude of the measurement (a number), a standard of comparison for the measurement (a unit), and an indication of the uncertainty of the measurement. While the number and unit are explicitly represented when a quantity is written, the uncertainty is an aspect of the errors in the measurement results.

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関連する実験動画

Updated: Jul 11, 2026

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
07:28

Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

Published on: January 21, 2017

連続体の測定スケール

R D Luce, L Narens

    Science (New York, N.Y.)
    |June 19, 1987
    PubMed
    まとめ

    この研究は,類似性,同類性,単調性を超えた新しい測定スケールタイプを特定しています. これらの発見は,数学的尺度とその行動科学と社会科学における応用に関する理解を広げています.

    科学分野:

    • 測定理論とは,測定理論である.
    • 心理物理学 心理物理学とは
    • 社会科学 社会科学とは

    背景:

    • S. S. スティーブンスの1946年の研究は,数値的な測定のための3つの許容可能な変換群を特定しました:類似性,同類性,単調性.
    • 他の可能なスケールタイプの存在と性質は,最近まで不明確でした.

    研究 の 目的:

    • 以前に確立されたものを超える追加的な測定スケールタイプを調査し,定義する.
    • 連続体上の均質な状況とその対応するスケールタイプを特徴付ける.
    • これらのスケールタイプを物理単位の枠組みに統合する.

    主な方法:

    • 数値的な測定のための許容される変換群の分析.
    • 連続体上の均質な状況の特徴.
    • 物理単位の構造と理論的統合.

    主要な成果:

    • 確立された3つのスケールタイプ (類似性,同類性,単調性) と1つの追加のタイプを特定しました.
    • この新しいタイプは,類似性型と親類性型のスケール型の間にあります.
    • これらのスケールタイプに対応する構造の定義されたクラス.

    さらに関連する動画

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
    10:39

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

    Published on: August 29, 2025

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
    08:13

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

    Published on: May 10, 2019

    関連する実験動画

    Last Updated: Jul 11, 2026

    Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity
    07:28

    Psychophysically-anchored, Robust Thresholding in Studying Pain-related Lateralization of Oscillatory Prestimulus Activity

    Published on: January 21, 2017

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
    10:39

    Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

    Published on: August 29, 2025

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
    08:13

    Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects

    Published on: May 10, 2019

    結論:

    • 特定されたスケールタイプは,測定のより包括的な理解を提供します.
    • これらの発見は,行動科学と社会科学に潜在的応用がある.
    • 結果は,物理単位構造にスケール型を組み込むことを容易にする.