nunnally: Obtain bottom-up approach multidimensional reliability...

In eunscho/reliacoef: Compute and Compare Unidimensional and Multidimensional Reliability Coefficients

Obtain bottom-up approach multidimensional reliability estimates

Description

Among several approaches to estimating multidimensional reliability, these estimators use a bottom-up approach. That is, the test score is divided into sub-dimensional or sub-test scores. Multidimensional reliability is obtained by estimating the reliability of each subtest score and combining them. Different estimates can be obtained depending on how each subtest reliability is estimated. These estimators use the general formula first proposed by Jum Nunnally.

Usage

nunnally(x, until, method = "joreskog", print = TRUE)

Arguments

x	observed item scores or their covariances
until	The number of items up to the first sub-construct
method	There are three options. joreskog, mu, kaisercaffrey. mu uses mu4.
print	If TRUE, the result is printed to the screen.

Value

a bifactor reliability estimate

Author(s)

Eunseong Cho, [e-mail]

References

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed). McGraw-Hill.

Examples

nunnally(Osburn_moderate, 4, method = "mu")
nunnally(Sijtsma2a, c(2, 4), method = "kaisercaffrey")

eunscho/reliacoef documentation built on Jan. 30, 2023, 12:16 a.m.