empirical_reliability: Calculate the Empirical Reliability of the Latent Trait...

In autoFC: Automatic Construction of Forced-Choice Tests

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"))

autoFC documentation built on April 4, 2025, 1:35 a.m.