IRT analysis of the BDI-II for early online depression detection: validation in a Mexican population
IntroductionIdentifying 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...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Psychology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1562016/full |
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| Summary: | IntroductionIdentifying 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.ObjectiveThis study aimed to evaluate the psychometric properties of the BDI-II for online self-diagnosis among Mexican adults.MethodData from 58,456 medical records were analysed using Item Response Theory (IRT).ResultsA 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).DiscussionThese 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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| ISSN: | 1664-1078 |