2026-10-14T16:22:06Z https://api.figshare.com/v2/oai

oai:figshare.com:article/32964434 2026-09-21T12:02:16Z category_30409 item_type_3 month_year_09_2026

<i>The Dimensionality of the 19-item Copenhagen Burnout Inventory Adapted for Students: A Bifactor Penalised SEM Analysis</i> Pieter Schaap (21172373) Melissa Reynell van der Ross (24462307) Social psychology Copenhagen Burnout Inventory (CBI) bifactor measurement model Study burnout Personal burnout Peer burnout Penalized Structural Equation Modelling Alignment-loss-function (ALF) priors <p dir="ltr">Although the CBI is widely interpreted as a three-factor multidimensional model, prior CFA-based validation studies often relied on strict zero cross-loadings and did not adequately address local item dependencies or weak subscale distinctiveness. Using data from 1,938 South African undergraduate students, we extended existing multidimensional CBI validation work by testing and finding partial support for a hypothesised hierarchical bifactor model. We applied penalised SEM and alignment-loss-function (ALF) priors to distinguish meaningful from trivial cross-loadings and local item dependencies. Auxiliary bifactor indices assessed the relative contribution of general and specific variance. Criterion validity was examined through regressions involving study demands and resources, given their theoretical relevance to exhaustion and burnout. The manuscript contributes to burnout research by showing that commonly accepted multidimensional CBI interpretations may be overstated when shared variance and local misspecification are explicitly modelled using new statistical tools and auxiliary bifactor indices.</p> 2026-09-21T12:02:16Z Dataset Dataset 10.6084/m9.figshare.32964434.v2 https://figshare.com/articles/dataset/_i_The_Dimensionality_of_the_19-item_Copenhagen_Burnout_Inventory_Adapted_for_Students_A_Bifactor_Penalised_SEM_Analysis_i_/32964434 CC BY 4.0