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Measurement: Standard Units

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.

Measures of Intelligence

Measures of Intelligence

Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this; it...

Measurement: Derived Units

Measurement: Derived Units

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.

Units and Standards of Measurement

Units and Standards of Measurement

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...

Units and Standards of Measurement

Units and Standards of Measurement

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...

Measures of Central Tendency

Measures of Central Tendency

The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean."

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Related Experiment Video

Updated: Jun 2, 2026

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

Grid-enabled measures: using Science 2.0 to standardize measures and share data.

Richard P Moser¹, Bradford W Hesse, Abdul R Shaikh

¹National Cancer Institute, 6130 Executive Boulevard, Bethesda, MD 20892-7365, USA. moserr@mail.nih.gov

American Journal of Preventive Medicine

|April 28, 2011

Summary

This summary is machine-generated.

Science 2.0 leverages web technologies for faster scientific discovery. The Grid-Enabled Measures (GEM) database promotes standardized measures and harmonized data sharing in cancer research.

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Area of Science:

Computational biology
Health informatics
Collaborative research

Background:

The scientific community is increasingly adopting web technologies for collaborative research, termed Science 2.0.
This paradigm shift aims to accelerate scientific discovery through participative environments.
Traditional research methods can be inefficient compared to collaborative, web-enabled approaches.

Purpose of the Study:

To describe the principles and functionality of the Grid-Enabled Measures (GEM) database.
To highlight how GEM embodies Science 2.0 principles for cancer research.
To discuss the importance of ontologies and data standards in facilitating data sharing.

Main Methods:

Conceptualization of the GEM database based on Science 2.0 principles.
Development of an online platform for researcher collaboration and consensus on standardized measures.
Integration of constructs and measures with an ontological framework, including NCI Enterprise Vocabulary System (EVS) and cancer Data Standards Repository (caDSR).

Main Results:

The GEM database provides a collaborative venue for researchers to rate, comment on, and view metadata for measures and constructs.
It facilitates the sharing of harmonized data by connecting measures to standardized data elements and ontologies.
The system promotes the use of theoretically based, standardized measures in cancer research.

Conclusions:

The GEM database exemplifies Science 2.0 by fostering collaboration and standardizing measures.
Implementing standardized measures and ontologies is crucial for efficient, harmonized data sharing in scientific research.
This approach has the potential to significantly enhance the efficiency and impact of cancer research.