Validating the Eating Disorder Inventory-3 (EDI-3): A Comparison Between 561 Female Eating Disorders Patients and 878 Females from the General Population

Loa Clausen, Jan H Rosenvinge, Oddgeir Friborg, Kristian Rokkedal, Loa Clausen, Jan H Rosenvinge, Oddgeir Friborg, Kristian Rokkedal

Abstract

The Eating Disorder Inventory (EDI) is used worldwide in research and clinical work. The 3(rd) version (EDI-3) has been used in recent research, yet without any independent testing of its psychometric properties. The aim of the present study was twofold: 1) to establish national norms and to compare them with the US and international norms, and 2) to examine the factor structure, the internal consistency, the sensitivity and the specificity of subscale scores. Participants were Danish adult female patients (N = 561) from a specialist treatment centre and a control group (N = 878) was women selected from the Danish Civil Registration system. Small but significant differences were found between Danish and international, as well as US norms. Overall, the factor structure was confirmed, the internal consistency of the subscales was satisfactory, the discriminative validity was good, and sensitivity and specificity were excellent. The implications from these results are discussed.

Figures

Fig. 1
Fig. 1
Norms of Danish controls vs. international controls. Note. Gray area displays the international norms (M ± 1 SD) (Garner 2004) and the error bars the Danish norms (M ± 1 SD)
Fig. 2
Fig. 2
Norms of Danish patients vs. international patients. Note. Gray area displays the international norms (M ± 1 SD) (Garner 2004) and the error bars the Danish norms (M ± 1 SD)
Fig. 3
Fig. 3
ROC Curves for a Diagnosis of Anorexia. Note. AUC = Percent of total area under ROC curve. A low cut-off score starts in the right upper corner, going down the diagonal
Fig. 4
Fig. 4
ROC Curves for a Diagnosis of Bulimia. Note. AUC = Percent of total area under ROC curve. A low cut-off score starts in the right upper corner, going down the diagonal
Fig. 5
Fig. 5
ROC Curves for a Diagnosis of Partial AN/BN. Note. AUC = Percent of total area under ROC curve. A low cut-off score starts in the right upper corner, going down the diagonal

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Source: PubMed

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