Salcedo-Callado T, Hernández-Llanes N, Sánchez-Domínguez R, Saracco-Alvarez R, Marín-Navarrete R. IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population.
Front Psychol 2025;
16:1562016. [PMID:
40302908 PMCID:
PMC12037505 DOI:
10.3389/fpsyg.2025.1562016]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2025] [Accepted: 03/14/2025] [Indexed: 05/02/2025] Open
Abstract
Introduction
Identifying factors associated with depression is crucial to addressing the global rise in mental health needs. The Beck Depression Inventory II (BDI-II) has shown robustness in assessing depression, even in digital contexts. However, psychometric evidence is essential to support its use in online self-diagnosis, particularly in regions where it has not been widely employed for this purpose.
Objective
This study aimed to evaluate the psychometric properties of the BDI-II for online self-diagnosis among Mexican adults.
Method
Data from 58,456 medical records were analysed using Item Response Theory (IRT).
Results
A good fit was found for a hierarchical confirmatory model with 1 s-order factor (overall severity) and two first-order factors (cognitive and somatic symptoms), as well as optimal accuracy estimates in both the IRT and the Classical Test Theory (CTT).
Discussion
These findings support the use of the BDI-II as a reliable online screening tool for depression in self-diagnosis settings for Mexican adults.
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