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Related Concept Videos

Nominal Level of Measurement00:56

Nominal Level of Measurement

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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...
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Ordinal Level of Measurement00:55

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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.
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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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Measurement: Derived Units03:02

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The International System of Units or SI system, by international agreement, has fixed measurement units for seven fundamental properties: length, mass, time, temperature, electric current, amount of substance, and luminosity. These are called the SI base units.
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Units and Standards of Measurement01:10

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A physical quantity is defined either by specifying its measurement method or by stating how it is calculated from other measurements. For example, consider a metallic cube. We might define its mass and dimensions by specifying methods for measuring them, such as using a weighing machine and a meter scale. Then, we could define the volume by stating that it is the cube of its side, and we could calculate the density as the mass divided by the volume.
Measurements of physical quantities are...
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Interval Level of Measurement00:55

Interval Level of Measurement

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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.
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Related Experiment Video

Updated: Jul 30, 2025

Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
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A Categorial Structure for Identifying Physiological Measurement Observables.

Anders Thurin1

  • 1Sahlgrenska University Hospital, Gothenburg, Sweden.

Studies in Health Technology and Informatics
|May 19, 2023
PubMed
Summary

A controlled terminology is proposed for describing patient measurements of pathophysiological phenomena. This structure will standardize methods, reference values, and results reporting for better scientific communication.

Keywords:
Clinical PhysiologyObservablesOntologyTerminology

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Area of Science:

  • Medical Informatics
  • Clinical Measurement
  • Pathophysiology

Background:

  • Describing patient measurements for pathophysiological phenomena presents challenges in standardization.
  • A need exists for a controlled terminology to ensure consistent reporting of clinical data.

Purpose of the Study:

  • To propose a categorical structure for a controlled terminology.
  • To facilitate standardized description of patient measurements and associated methods.
  • To enable consistent reporting of reference values and results.

Main Methods:

  • Development of a proposed categorical structure for terminology.
  • Analysis of requirements for describing pathophysiological measurements.
  • Literature review on existing terminologies in clinical measurement.

Main Results:

  • A proposed categorial structure for a controlled terminology is presented.
  • The structure aims to cover methods, reference values, and results reporting.
  • This framework supports the standardization of clinical measurement descriptions.

Conclusions:

  • A standardized controlled terminology is essential for characterizing pathophysiological phenomena.
  • The proposed structure provides a foundation for consistent and accurate reporting of patient measurements.
  • Implementation of such terminology will enhance data comparability and scientific rigor.