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.
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Notes
As an ancillary analysis, we determined the BDI-II norm scores for a model with no predictors to allow for a comparison of an individual BDI-II score with the total sample. Table 2 presents the BDI-II norm scores for that model.
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Acknowledgments
We would like to express our gratitude to Annie Hendriks, Greet Kellens, and Sylvia Gerhards, who assisted with data collection, and to Rosanne Janssen, who developed the infrastructure for online data collection. Municipalities Eijsden, Meerssen, Sittard-Geleen, Valkenburg, and Maastricht sponsored the study. Competing interests: the authors have no competing interests.
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Roelofs, J., van Breukelen, G., de Graaf, L.E. et al. Norms for the Beck Depression Inventory (BDI-II) in a Large Dutch Community Sample. J Psychopathol Behav Assess 35, 93–98 (2013). https://doi.org/10.1007/s10862-012-9309-2
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DOI: https://doi.org/10.1007/s10862-012-9309-2