@misc{10481/91385,
year = {2024},
month = {5},
url = {https://hdl.handle.net/10481/91385},
abstract = {Introduction: Reliability is a property of tests scores that varies from sample
to sample. One way of generalizing reliability of a test is to perform a metaanalysis
on some reliability estimator. In 2011, a reliability generalization metaanalysis
on the Maslach Burnout Inventory (MBI) was conducted, concluding
that average alpha values for the MBI dimensions ranged from 0.71 to 0.88.
In the present study, we aimed to update the average reliability values of the
MBI by conducting a literature search from 2010 until now and comparing to
statistical procedures of meta-analysis: the Univariate approach, that were used
in the previous study, and a novel meta-analytic approach based on structural
equation modeling.
Method: An estimation of average reliability was done based on 69 independent
primary reliability coefficients for the Univariate approach. The average reliability
was based on 9 independent studies in the case of the Meta-analytic Structural
Equation Modeling (MASEM) approach. Given that MASEM has the additional
capability of testing the internal structure of a test, we also fitted several models.
Results: The data was well-suited to the bifactor model, revealing the dominance
of the general factor over the domain-specific ones. Acceptable overall alpha
and omega coefficients were achieved for the two of the MBI dimensions, having
depersonalization reliability estimates below recommendations.
Discussion: In general, the MBI can be viewed as a highly interconnected threefactor
scale, being its appropriate for research purposes.},
organization = {Consejería de Universidad, Investigación e Innovación  C-SEJ-043-UGR23},
organization = {ERDF Andalusia Program 2021–2027},
publisher = {Frontiers},
keywords = {MBI},
keywords = {MASEM},
keywords = {Menta-analysis},
keywords = {Reliability generalization},
keywords = {Burnout},
title = {A comparison of univariate and meta-analytic structural equation modeling approaches to reliability generalization applied to the Maslach Burnout Inventory},
doi = {10.3389/fpsyg.2024.1383619},
author = {Aguayo Estremera, Raimundo and Cañadas De La Fuente, Gustavo Raúl and Ariza-Castilla, Tania and Ortega-Campos, Elena and Gómez Urquiza, Jose Luis and Romero Béjar, José Luis and De la Fuente-Solana, Emilia Inmaculada},
}