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Research Articles

Diagnosing depression in primary care: a Rasch analysis of the Major Depression Inventory

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Pages 256-263 | Received 19 Dec 2016, Accepted 17 Dec 2018, Published online: 26 Apr 2019

Figures & data

Table 1. Model fit statistics for MDI items.

Table 2. Individual item fit for MDI items.

Figure 1. The MDI category probability curves for item 1 ‘feeling sad’ displaying disordered six-point response categories and corrected five-point response categories.

Figure 1. The MDI category probability curves for item 1 ‘feeling sad’ displaying disordered six-point response categories and corrected five-point response categories.

Figure 2. All 10 MDI items displayed disordered six-point response categories and corrected five-point response categories (A). Dichotomization according to diagnostic algorithm revealed ordered response categories (B). All items are sorted in location order.

Figure 2. All 10 MDI items displayed disordered six-point response categories and corrected five-point response categories (A). Dichotomization according to diagnostic algorithm revealed ordered response categories (B). All items are sorted in location order.

Figure 3. The person-item threshold map for the MDI items for the primary care sample. A total of 57% of persons were classified as clinically depressed according to the MDI algorithm.

Figure 3. The person-item threshold map for the MDI items for the primary care sample. A total of 57% of persons were classified as clinically depressed according to the MDI algorithm.
Supplemental material

Supplemental Material

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