correlated_factors: Obtain correlated factors reliability estimates of...
In eunscho/reliacoef: Compute and Compare Unidimensional and Multidimensional Reliability Coefficients
View source: R/correlated_factors.R
correlated_factors R Documentation
Obtain correlated factors reliability estimates of two-dimensional data
Description
Obtain correlated factors reliability estimates of two-dimensional data. It is a kind
of multidimensional CFA reliability, and it is the reliability derived from
the correlated factors model. Items should be grouped by each sub-dimension. For
example, the first dimension consists of the first item through the until item.
Usage
correlated_factors(x, nobs = NULL, until, print = TRUE)
Arguments
x
observed item scores or their covariances
nobs
number of observations (i.e., sample size)
until
The number of items up to the first sub-construct
print
If TRUE, the result is printed to the screen.
Value
a correlated factors reliability estimate
Author(s)
Eunseong Cho, bene@kw.ac.kr
References
Cho, E. (2016). Making reliability reliable: A systematic
approach to reliability coefficients. Organizational Research Methods, 19(4),
651-682. https://doi.org/10.1177/1094428116656239
Examples
correlated_factors(Osburn_moderate, 4)
correlated_factors(Sijtsma2a, c(2, 4))
eunscho/reliacoef documentation built on Jan. 30, 2023, 12:16 a.m.
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View source: R/correlated_factors.R
| correlated_factors | R Documentation |
Obtain correlated factors reliability estimates of two-dimensional data
Description
Obtain correlated factors reliability estimates of two-dimensional data. It is a kind of multidimensional CFA reliability, and it is the reliability derived from the correlated factors model. Items should be grouped by each sub-dimension. For example, the first dimension consists of the first item through the until item.
Usage
correlated_factors(x, nobs = NULL, until, print = TRUE)
Arguments
x |
observed item scores or their covariances |
nobs |
number of observations (i.e., sample size) |
until |
The number of items up to the first sub-construct |
print |
If TRUE, the result is printed to the screen. |
Value
a correlated factors reliability estimate
Author(s)
Eunseong Cho, bene@kw.ac.kr
References
Cho, E. (2016). Making reliability reliable: A systematic approach to reliability coefficients. Organizational Research Methods, 19(4), 651-682. https://doi.org/10.1177/1094428116656239
Examples
correlated_factors(Osburn_moderate, 4) correlated_factors(Sijtsma2a, c(2, 4))
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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