The MCMI-III data were originally collected by Rossi et al. (2010) and contain responses to 44 items from the Dutch version of the MCMI-III. The data has also been used by de la Torre et al. (2018) and Van der Ark et al. (2019) to demonstrate the applicability of diagnostic classification models in psychological assessment. The data set was uploaded to the Item Response Warehouse (Domingue et al., 2025) and is reformatted here.
Format
mcmi_data is a tibble containing
response data with 1,208 rows and 45 variables:
id: Respondent identifier.item.1-item.44: Dichotomous item responses to the 44 MCMI-III items.
mcmi_qmatrix is a tibble that
identifies which disorders are measured by each item. This assessment
contains 44 items measuring 3 disorders. The mcmi_qmatrix correspondingly
is made up of 44 rows and 4 variables.
item: Item identifier, corresponds to item response columns infraction_data.Attribute columns: 4 columns, one for each attribute. Each is a dichotomous indicator for whether or not the disorder is measured by each item. A value of
1indicates the disorder is measured by the item and a value of0indicates the disorder is not measured by the item.
Details
The attributes correspond to the presence of:
anxiety: Anxiety disordersomatoform: Somatoform disorderthought_disorder: Thought disordermajor_depression: Major depression
References
de la Torre, J., Van der Ark, L. A., & Rossi, G. (2018). Analysis of clinical data from cognitive diagnosis modeling framework. Measurement and Evaluation in Counseling and Development, 51(4), 281-296. doi:10.1080/07481756.2017.1327286
Domingue, B., Braginsky, M., Caffrey-Maffei, L., Gilbert, J. B., Kanopka, K., Kapoor, R., Lee, H., Liu, Y., Nadela, S., Pan, G., Zhang, L., Zhang, S., & Frank, M. C. (2025). An introduction to the Item Response Warehouse (IRW): A resource for enhancing data usage in psychometrics. Behavior Research Methods, 57, Article 276. doi:10.3758/s13428-025-02796-y
Rossi, G., Elklit, A., & Simonsen, E. (2010). Empirical evidence for a four factor framework of personality disorder organization: Multigroup confirmatory factor analysis of the Millon Clinical Multiaxial Inventory-III personality disorder scales across Belgian and Danish data samples. Journal of Personality Disorders, 24(1), 128-150. doi:10.1521/pedi.2010.24.1.128
Van der Ark, L. A., Rossi, G., & Sijtsma, K. (2019). Nonparametric item response theory and Mokken scale analysis, with relations to latent class models and cognitive diagnostic models. In M. von Davier & Y.-S. Lee (Eds.), Handbook of diagnostic classification models (pp. 21-45). Springer. doi:10.1007/978-3-030-05584-4_2
