A comparison of univariate and meta-analytic structural equation modeling approaches to reliability generalization applied to the Maslach Burnout Inventory Aguayo Estremera, Raimundo Cañadas De La Fuente, Gustavo Raúl Ariza-Castilla, Tania Ortega-Campos, Elena Gómez Urquiza, Jose Luis Romero Béjar, José Luis De la Fuente-Solana, Emilia Inmaculada MBI MASEM Menta-analysis Reliability generalization Burnout The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by Grant C-SEJ-043-UGR23 funded by Consejería de Universidad, Investigación e Innovación and by ERDF Andalusia Program 2021–2027. The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1383619/full#supplementary-material. 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. 2024-05-06T07:12:10Z 2024-05-06T07:12:10Z 2024-05-03 journal article Aguayo-Estremera R, Cañadas-De la Fuente GR, Ariza-Castilla T, Ortega-Campos E, Gómez-Urquiza JL, Romero-Béjar JL and De la Fuente-Solana EI (2024) A comparison of univariate and meta-analytic structural equation modeling approaches to reliability generalization applied to the Maslach Burnout Inventory. Front. Psychol. 15:1383619. doi: 10.3389/fpsyg.2024.1383619 https://hdl.handle.net/10481/91385 10.3389/fpsyg.2024.1383619 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional Frontiers