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. © 2012 Springer Science+Business Media, LLC.
|Number of pages||6|
|Journal||Journal of Psychopathology and Behavioral Assessment|
|Publication status||Published - 2013|