Abstract
The Beck Depression Inventory (BDI-II) is a widely used instrument that provides information about the presence and severity of depressive symptoms. Although the BDI-II is a psychometrically sound instrument, relatively little is known about norm scores. This study aimed to develop reliable norms for the BDI-II in a Dutch community sample. Gender, age, and education were hypothesized to predict BDI-II scores. A total of 7,500 respondents from a community sample in The Netherlands completed the BDI-II. It was investigated by means of multiple regression analysis whether distinct norms for genders, education levels, and age group are appropriate. BDI-II scores depended on gender and education level, but not on age. BDI-II norms were computed based on the final regression model. These BDI-II norms can be used for diagnostic purposes, clinical decision making, or the evaluation of treatment effects.
Original language | English |
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Pages (from-to) | 93-98 |
Number of pages | 6 |
Journal | Journal of Psychopathology and Behavioral Assessment |
Volume | 35 |
Issue number | 1 |
DOIs | |
Publication status | Published - Mar 2013 |
Keywords
- BDI-II
- Beck Depression Inventory
- Depression
- Norming
- PSYCHIATRIC OUTPATIENTS
- PSYCHOMETRIC PROPERTIES
- INPATIENTS
- VALIDITY