1. The development of the Adolescent/Young Adult Self-Management and Independence Scale II: Psychometric data
- Author
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Timothy J. Brei, Amy Heffelfinger, Kathleen J. Sawin, and Susan E. Cashin
- Subjects
Adult ,Male ,Psychometrics ,Adolescent ,Intraclass correlation ,Concurrent validity ,Physical Therapy, Sports Therapy and Rehabilitation ,Structural equation modeling ,03 medical and health sciences ,Young Adult ,0302 clinical medicine ,Cronbach's alpha ,030225 pediatrics ,Surveys and Questionnaires ,Humans ,Young adult ,Spinal Dysraphism ,Self-Management ,Rehabilitation ,Reproducibility of Results ,Confirmatory factor analysis ,Exploratory factor analysis ,Pediatrics, Perinatology and Child Health ,Chronic Disease ,Female ,Psychology ,Factor Analysis, Statistical ,030217 neurology & neurosurgery ,Clinical psychology - Abstract
Purpose Measuring self-management behaviors in adolescents and young adults with chronic health conditions has become a priority in health care, yet there is a paucity of instruments that capture these behaviors. The purpose of this psychometric study was to evaluate the reliability and validity of the 17-item generic Adolescent/Young Adult Self-Management and Independence Scale II (AMIS II). Method Data were collected from 201 adolescents/young adults (AYA) with spina bifida and 129 of their parents. Exploratory factor analysis, confirmatory factor analysis, Cronbach alpha, frequencies, Pearson correlations, and intraclass correlations were used to evaluate the data. Results The exploratory factor analysis of parent data supported two related self-management factors (Condition Self-Management and Independent Living Self-Management). Confirmatory factor analysis of AYA data confirmed these two factors and an overall scale with good fit statistics (GFI and CFI = 0.86-0.95; RMSEA = 0.057). Internal reliabilities ranged from α= 0.72-0.89. Intraclass correlation analysis supported the stability of the instrument (ICC parent report = 0.82, AYA report = 0.84). Concurrent validity was supported with low to moderate correlations to six related but distinct variables. Conclusion Psychometric analysis supports this expanded measure of self-management for AYA with spina bifida. Evaluation of this instrument in AYA with other chronic health conditions is underway.
- Published
- 2018