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The internal and external validity of the Major Depression Inventory in measuring severity of depressive states

OLSEN, L. R., JENSEN, D. V., NOERHOLM, V., MARTINY, K., BECH, P.·2003·Psychological Medicine

Abstract

Background. We have developed the Major Depression Inventory (MDI), consisting of 10 items, covering the DSM-IV as well as the ICD-10 symptoms of depressive illness. We aimed to evaluate this as a scale measuring severity of depressive states with reference to both internal and external validity. Method. Patients representing the score range from no depression to marked depression on the Hamilton Depression Scale (HAM-D) completed the MDI. Both classical and modern psychometric methods were applied for the evaluation of validity, including the Rasch analysis. Results. In total, 91 patients were included. The results showed that the MDI had an adequate internal validity in being a unidimensional scale (the total score an appropriate or sufficient statistic). The external validity of the MDI was also confirmed as the total score of the MDI correlated significantly with the HAM-D (Pearson's coefficient 0·86, P[les ]0·01, Spearman 0·80, P[les ]0·01). Conclusion. When used in a sample of patients with different states of depression the MDI has an adequate internal and external validity.

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Metadata

Authors
OLSEN, L. R., JENSEN, D. V., NOERHOLM, V., MARTINY, K., & BECH, P.
Venue
Psychological Medicine
Published
2003-02
Volume
33
Issue
2
Pages
351-356
ISSN
  • 0033-2917 (ISSN-L)
  • 1469-8978
OpenAlex
W1990870960
Cited by
531
References
18
FWCI
8.20
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The internal and external validity of the Major Depression Inventory in measuring severity of depressive states. https://app.cochat.ai/papers/10.1017/s0033291702006724
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OLSEN, L. R., JENSEN, D. V., NOERHOLM, V., MARTINY, K., & BECH, P. (2003). The internal and external validity of the Major Depression Inventory in measuring severity of depressive states. Psychological Medicine. https://doi.org/10.1017/s0033291702006724

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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