AI Article Synopsis
- Baby boomers represent about 66% of hepatitis C cases in the U.S., prompting research into effective ways to measure their experience of illness uncertainty.
- A study conducted a principal component analysis (PCA) with 146 baby boomers to evaluate the Measure of Uncertainty in Illness Scale-C (MUIS-C) for reliability and effectiveness.
- The analysis revealed a two-factor structure explaining 45.8% of the variance, supporting the MUIS-C as a valid tool for assessing illness uncertainty in this population.
Article Abstract
Background: Baby boomers account for two out of every three cases of hepatitis C infection in the U.S.
Purpose: To conduct an exploratory factor analysis directed at supporting the use of the MUIS-C as a reliable instrument in measuring illness uncertainty among baby boomers with hepatitis C.
Methods: The steps of conducting a typical principal component analysis (PCA) with an oblique rotation were used on a sample of 146 participants, the sampling adequacy of items was examined via the Kaiser-Meyer-Olkin (KMO) measure, and the Bartlett's sphericity test was used for appropriateness of conducting a factor analysis.
Results: A two-factor structure was obtained by using Horn's parallel analysis method. The two factors explained a cumulative total of 45.8% of the variance.
Conclusions: The results of the analyses indicated that the MUIS-C was a valid and reliable instrument and potentially suitable for use in baby boomer population diagnosed with hepatitis C.
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| http://dx.doi.org/10.1016/j.apnr.2016.06.007 | DOI Listing |
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