doi: 10.70220/hqqs0vzx

Cite This Publication

Jaden Pieper and Stephen D. Voran ORCID logo

Abstract:

This memorandum provides mathematical relationships for agreement between true measurand values, means of multiple imperfect measurements, and resampled measurement means. Agreement is quantified here in terms of Pearson correlation coefficient (PCC) and mean-squared error (MSE). The derivations of the key relationships range from simple to rather intricate, but the resulting equations are all simple, intuitive, and easy to use. More specifically, given a number of measurands, a number of measurements per measurand, and some basic variance information, the equations provide the expected PCC (or MSE) between measurand values, means of measurements, and means of resampled measurements. Depending on the measurement context and the specific goals for PCC or MSE, these results can guide readers in deciding on an appropriate number of measurements to gather.

Keywords: mean opinion score; MOS; subjective testing; correlation; bootstrapping; mean-squared error; measurement error; resampling

For technical information concerning this report, contact:

Jaden Pieper
Institute for Telecommunication Sciences
(202) 236-7516
jpieper@ntia.gov

For funding information concerning this report, click this link.

Performing Agency

U.S. Department of Commerce

National Telecommunications and Information Administration

Institute for Telecommunication Sciences

325 Broadway

Boulder, CO 80305

https://ror.org/00mj5bc69

Funding Agency

U.S. Department of Commerce

National Telecommunications and Information Administration

Herbert C. Hoover Building

14th and Constitution Ave., N.W.

Washington, D.C. 20230

https://ror.org/032241511

Disclaimer:

Certain commercial equipment, components, and software may be identified in this report to specify adequately the technical aspects of the reported results. In no case does such identification imply recommendation or endorsement by the National Telecommunications and Information Administration, nor does it imply that the equipment or software identified is necessarily the best available for the particular application or uses.

For questions or information on this or any other NTIA scientific publication, contact the ITS Publications Office at ITSinfo@ntia.gov or 303-497-3572.

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