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. 2016 Jan;43(1):104-15.
doi: 10.1007/s11414-014-9411-1.

Measuring Mental Health Recovery: An Application of Rasch Modeling to the Consumer Recovery Measure

Kathryn Kd Lusczakoski  1 , P Antonio Olmos-Gallo  2 , William Milnor  3 , Christopher J McKinney  4
Affiliations

Measuring Mental Health Recovery: An Application of Rasch Modeling to the Consumer Recovery Measure

Kathryn Kd Lusczakoski et al. J Behav Health Serv Res. 2016 Jan.

Abstract

As the need for recovery-oriented outcomes increases, it is critical to understand how numeric recovery scores are developed. In the current article, the modern Rasch modeling techniques were applied to establish numeric scores of consumers' perceptions of recovery. A sample of 1,973 adult consumers at a community-based mental health center (57.5% male; average age of 47 years old) completed the 15-item Consumer Recovery Measure. A confirmatory factor analysis revealed the unidimensional nature of the Consumer Recovery Measure and provided construct validity evidence. The Rasch analysis displayed that the items produced acceptable model fit, reliability, and identified the difficulty of the items. The conclusion emphasizes the value of Rasch modeling regarding the measurement of recovery and its relevance to consumer-derived assessments in the clinical decision-making process.

Keywords: Classical Test Theory; Measurement; Rasch Modeling; Recovery.

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Conflict of interest statement

The authors have no conflict of interests to declare.

Figures

Figure 1
Figure 1
The Consumer Recovery Measures unidimensional structure with standardized loadings
Figure 2
Figure 2
The item/person map of the Consumer Recovery Measures. The distribution of consumers’ ability scores is shown on the left side of the ruler; difficulty scores are depicted on the right side of the ruler
See this image and copyright information in PMC

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