Abstract
The purpose of this study was to evaluate Mishel Uncertainty in Illness Scale-Community (MUIS-C), used to gauge level of uncertainty among baby boomers with hepatitis C virus (HCV) infection, as a reliable two-factor instrument. A CFA was conducted to test MUIS-C. There were minor deviations from normality. Subsequently, 130 participants were used to examine the factor structure and the model fit. A robust maximum likelihood (ML) estimation using the Wishart distribution was implemented in R version 3.3.1. A very good model fit was obtained (χ2(101) = 118.32, p = .115, TLI = 0.977, CFI = 0.983, RMSEA = 0.036, 90%CI(0.000, 0.061), and SRMR = 0.057). All indicators showed significant positive factor loadings, with standardized coefficients ranging from 0.511 to 0.868. The MUIS-C was a reliable two-factor instrument and suitable for use as such in baby boomer population with HCV.
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