empirical_reliability {autoFC} | R Documentation |
Calculate the Empirical Reliability of the Latent Trait Scores, Following the Formula in Brown & Maydeu-Olivares (2018).
Description
Calculates the empirical reliability using the formula in Brown & Maydeu-Olivares (2018).
Usage
empirical_reliability(dataset, score_names, se_names)
Arguments
dataset |
Data frame with trait estimates and standard errors |
score_names |
Vector of characters. Which columns specify trait scores? |
se_names |
Vector of characters. Which columns specify trait standard errors? |
Details
For trait scores estimated using item response theory models, a suitable reliability estimate is empirical reliability, which provides a summary estimate on how reliable the trait scores are "as a whole".
Value
A numeric vector containing empirical reliability estimates, ordered the same as in score_names
.
Author(s)
Mengtong Li
References
Brown, A., & Maydeu-Olivares, A. (2018). Ordinal factor analysis of graded-preference questionnaire data. Structural Equation Modeling: A Multidisciplinary Journal, 25(4), 516-529. https://doi.org/10.1080/10705511.2017.1392247
Examples
## Not run: empirical_reliability(dataset, c("Trait1", "Trait2", "Trait3"), c("se1", "se2", "se3"))