Barry University, Miami Shores, FL, USA
Mercer University, Atlanta, GA, USA.
J Nurs Meas. 2021 Apr 1;29(1):166-181. doi: 10.1891/JNM-D-19-00089. Epub 2021 Feb 16.
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 ((101) = 118.32, = .115, = 0.977, = 0.983, = 0.036, 90%(0.000, 0.061), and = 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.
本研究旨在评估用于评估丙型肝炎病毒(HCV)感染的婴儿潮一代患者的不确定性水平的Mishel 疾病不确定感量表-社区版(MUIS-C),作为一种可靠的两因素工具。
采用 CFA 对 MUIS-C 进行检验。存在轻微的正态性偏差。随后,使用 130 名参与者来检验因子结构和模型拟合度。在 R 版本 3.3.1 中使用 Wishart 分布实施稳健最大似然(ML)估计。
获得了非常好的模型拟合度((101) = 118.32, =.115, = 0.977, = 0.983, = 0.036,90%(0.000,0.061), = 0.057)。所有指标均显示出显著的正因子负荷,标准化系数范围为 0.511 至 0.868。
MUIS-C 是一种可靠的两因素工具,适用于 HCV 婴儿潮一代人群。