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Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Instrument Calibration01:12

Instrument Calibration

Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
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Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Measures of Intelligence01:29

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.
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Related Experiment Video

Updated: Jun 6, 2026

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

What makes a measurement instrument valid and reliable?

Vanessa A Scholtes1, Caroline B Terwee, Rudolf W Poolman

  • 1Department of Orthopaedic Surgery, Joint Research, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands. v.a.b.scholtes@olvg.nl

Injury
|December 15, 2010
PubMed
Summary

This paper explains how to assess the quality of clinical instruments by evaluating their reliability and validity using standardized criteria from the COSMIN group. It provides examples for trauma research, offering a guide for instrument quality assessment.

Related Experiment Videos

Last Updated: Jun 6, 2026

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

Area of Science:

  • Clinical measurement
  • Health sciences research methodology

Background:

  • High-quality instruments are crucial for reliable clinical and research outcomes.
  • Assessing measurement properties like reliability and validity is essential for determining instrument quality.
  • Standardized criteria are needed for consistent evaluation of measurement instruments.

Purpose of the Study:

  • To discuss quality domains and measurement properties of clinical instruments.
  • To introduce the standardized criteria recently published by the COSMIN group for assessing measurement properties.
  • To provide practical examples of evaluating instrument properties in trauma research.

Main Methods:

  • Discussion of measurement properties including reliability and validity.
  • Application of the COSMIN group's standardized criteria for quality assessment.
  • Review of existing studies evaluating instruments used in trauma research.

Main Results:

  • The paper outlines key measurement properties and quality domains for assessing instruments.
  • It demonstrates how to apply COSMIN criteria to evaluate instrument reliability and validity.
  • Examples illustrate the assessment process for instruments commonly used in trauma studies.

Conclusions:

  • The COSMIN criteria offer a standardized framework for evaluating the quality of measurement instruments.
  • Reliability and validity are key properties that must be rigorously assessed.
  • This paper serves as a practical guide for researchers and clinicians evaluating instrument quality.