Validity and reliability of the Beck Depression Inventory (BDI-II) in general and hospital population of Dominican Republic
Zoilo Emilio García-Batista, Kiero Guerra-Peña, Antonio Cano Vindel, Solmary Xiomara Herrera-Martínez, Leonardo Adrián Medrano · 2018
Read Validity and reliability of the Beck Depression Inventory (BDI-II) in general and hospital population of Dominican Republic by Zoilo Emilio García-Batista, Kiero Guerra-Peña, Antonio Cano Vindel, Solmary Xiomara Herrera-Martínez, Leonardo Adrián Medrano (2018) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/openalex-w2811436445.txt.
Description
Zoilo Emilio García-Batista, Kiero Guerra-Peña, and Antonio Cano-Vindel tested a famous depression questionnaire in the Dominican Republic, in PLoS ONE in 2018. The Beck Depression Inventory-II is among the most used depression measures worldwide, in clinics and research alike. Its accuracy had been proven in many countries, but never in this one. Clinicians there needed to know the Spanish scale truly measures depression locally.
The study had two aims. First, test which internal structure best fits Dominican responses, comparing models from the literature. Second, establish the scale's reliability in general and hospital populations. Validity evidence decides whether scores can guide diagnosis and treatment decisions. A scale imported without local testing can mislead silently for years. Psychometric checks like this one are unglamorous but essential groundwork. The paper gives Dominican practitioners a verified tool instead of an assumed one.
Catalog record
| CREATOR | Zoilo Emilio García-Batista, Kiero Guerra-Peña, Antonio Cano Vindel, Solmary Xiomara Herrera-Martínez, Leonardo Adrián Medrano |
|---|---|
| YEAR | 2018 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | OpenAlex / PLoS ONE |