Precision in measurement relates to the confidence and consistency of given values, associations, and outcomes. Precision is oftentimes presented in the form of a 95% confidence of a mean or 95% confidence interval of an unadjusted or adjusted odds ratio. Narrower confidence intervals are associated with increased levels of precision since the "true score" falls within a relatively narrow spectrum of values. Wider confidence intervals show less confidence in where the true effect may lie along a wide spectrum.
Reliability, a concept from psychometrics, is also associated with the precision of measurement. If a test were given to someone 100 times, psychometricians hypothesize that the "true score" falls somewhere within a 95% confidence interval around the "observed score" that is derived from the standard error of measurement (SEM).
The most synonymous words with precision in measurement are reliability, confidence, and consistency.
Reliability, a concept from psychometrics, is also associated with the precision of measurement. If a test were given to someone 100 times, psychometricians hypothesize that the "true score" falls somewhere within a 95% confidence interval around the "observed score" that is derived from the standard error of measurement (SEM).
The most synonymous words with precision in measurement are reliability, confidence, and consistency.
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