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Uncertainty in Measurement: Accuracy and Precision

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.

Reliability and Validity

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.

Replication in Prokaryotes

Replication in Prokaryotes

Regression Toward the Mean

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Accuracy and Precision

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...

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Reproducibility in research.

Disease Models & Mechanisms

|May 11, 2011

Summary

This summary is machine-generated.

Reproducibility in biomedical research requires detailed methods sections in publications. Following guidelines like ARRIVE improves the clarity and utility of research involving animal models.

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Area of Science:

Biomedical Research
Scientific Methodology
Animal Model Studies

Background:

Biomedical research progress relies on building upon previous findings, necessitating the ability to replicate or adapt existing methods.
Published papers often lack sufficient methodological detail, hindering the reproducibility and application of research.
Clear methods descriptions are especially critical for complex and expensive experiments, such as those using animal models.

Discussion:

The Methods section is vital for the integrity and utility of biomedical research papers.
Insufficient detail in methods sections impedes scientific progress and the validation of findings.
The ARRIVE guidelines offer a framework for improving the reporting of animal research.

Key Insights:

Detailed methods reporting is essential for scientific reproducibility.
The ARRIVE guidelines enhance the transparency and usability of animal model research.
Clear methodology ensures the integrity and value of published biomedical studies.

Outlook:

Widespread adoption of reporting guidelines like ARRIVE will improve research reproducibility.
Enhanced methodological transparency will accelerate biomedical discoveries.
Future research will benefit from standardized, detailed reporting of experimental procedures.