nunnally | R Documentation |
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.
nunnally(x, until, method = "joreskog", print = TRUE)
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. |
a bifactor reliability estimate
Eunseong Cho, bene@kw.ac.kr
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed). McGraw-Hill.
nunnally(Osburn_moderate, 4, method = "mu") nunnally(Sijtsma2a, c(2, 4), method = "kaisercaffrey")
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