se_measure: Standard error of measurement
In DavideMassidda/testing: Psychometric Testing
se_measure R Documentation
Standard error of measurement
Description
Calculate the standard error of measurement (SEM) for a test score.
Usage
se_measure(r, s)
Arguments
r
Vector of reliabilities.
s
Standard deviation of the scores.
Details
The standard error of measurement is function of the reliability of the test and its
standard deviation. It quantifies the error of estimation of a true test score from
the observed test scores.
See Also
cronbach_alpha
Examples
se_measure(0.9, s=15)
DavideMassidda/testing documentation built on Oct. 12, 2023, 4:32 p.m.
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| se_measure | R Documentation |
Standard error of measurement
Description
Calculate the standard error of measurement (SEM) for a test score.
Usage
se_measure(r, s)
Arguments
r |
Vector of reliabilities. |
s |
Standard deviation of the scores. |
Details
The standard error of measurement is function of the reliability of the test and its standard deviation. It quantifies the error of estimation of a true test score from the observed test scores.
See Also
cronbach_alpha
Examples
se_measure(0.9, s=15)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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