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

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...

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Publicado en:Journal of Behavioral Health Services & Research Vol. 43; no. 1; pp. 104 - 116
Autores principales: Lusczakoski, Kathryn, Olmos-Gallo, P., Milnor, William, McKinney, Christopher, Lusczakoski, Kathryn Kd, Olmos-Gallo, P Antonio, McKinney, Christopher J
Formato: Journal Article
Publicado: Springer Nature Jan2016
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Measuring Mental Health Recovery: An Application of Rasch Modeling to the Consumer Recovery Measure.
      aug:
        au:
          Lusczakoski, Kathryn
          Olmos-Gallo, P.
          Milnor, William
          McKinney, Christopher
          Lusczakoski, Kathryn Kd
          Olmos-Gallo, P Antonio
          McKinney, Christopher J
        affil: Accelrys, Lafayette USA
      sug:
        subj:
          Ambulatory Care Facilities
          Mental Disorders Therapy
          Outcome Assessment Methods
          Mental Disorders Psychosocial Factors
          Male
          Treatment Outcomes
          Aged, 80 and Over
          Mental Health
          Adult
          Psychometrics
          Female
          Middle Age
          Young Adult
          Aged
          Models, Theoretical
          Scales
          Aged, 80 & over
          Adult: 19-44 years
          Middle Aged: 45-64 years
          Aged: 65+ years
          Male
          Female
      ab: 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.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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