Confirmatory Factor Analysis of MUIS-C Scale Among Baby Boomers With Hepatitis C.

Background and Purpose: 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. Methods: 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. Results: A very good model fit was obtained (χ ²(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. Conclusions: The MUIS-C was a reliable two-factor instrument and suitable for use as such in baby boomer population with HCV. [ABSTRACT FROM AUTHOR]