Abstract
A major impediment to obtaining national information on systems of care implementation has been the lack of a psychometrically sound large-scale survey instrument. The present study provided information on the factorial and concurrent validity of the Systems of Care Implementation Survey scales. Multilevel confirmatory factor analysis and multilevel regression analysis were used to test these indicators of internal and external validity. Two hundred twenty-five counties were randomly selected and stratified by population size and poverty level. Nine hundred ten informants responded to the survey questionnaire, M = 4.04 informants per county (SD = 3.17). Results indicated that all models had at least adequate fit to the data, with nine of the 14 factor models having excellent fit. Overall, 11 of the 14 factors had some indication that receiving federal funding to create systems of care was associated with higher scores on the factors. Implications for future research were discussed.
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Notes
A freely estimated correlated error between the two dichotomous items (6A and 6B) was included to achieve model convergence for the regression model on the implementation plan factor.
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Acknowledgments
This research was partially supported by Grant H133B90004 from the Center for Mental Health Services, Substance Abuse and Mental Health Administration and the National Institute for Disability and Rehabilitation Research. The opinions contained in this manuscript are those of the authors and do not necessarily reflect those of either the US Department of Education or the Center for Mental Health Services, SAMSHA. We gratefully acknowledge helpful comments on the statistical analyses by members of the Prevention Science and Methodology Group (PI: C. Hendricks Brown) supported by the National Institute of Mental Health and the National Institute on Drug Abuse through Grant 5R01MH40859.
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Greenbaum, P.E., Wang, W., Boothroyd, R. et al. Multilevel Confirmatory Factor Analysis of the Systems of Care Implementation Survey (SOCIS). J Behav Health Serv Res 38, 303–326 (2011). https://doi.org/10.1007/s11414-011-9240-4
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DOI: https://doi.org/10.1007/s11414-011-9240-4