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Mean utility coefficients reflect relative preference weights where larger values indicate more preferred attributes.
Mean utility coefficients are interpreted as relative preference weights where larger values indicate greater utility and more preferred attributes.
Mean utility coefficients from the nursing student model cannot be meaningfully compared to coefficients from the practicing nurse model because the utilities are on different scales.
In Table 3 4 5 6 mean utility coefficients for the salary attribute are standardized to represent respondent preferences for $500,000 USh per month.
Mean utility coefficients are the basis for estimations of WTP, which can be compared across nursing students and practicing nurses (Table 4).
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The mean utility coefficient for salary is assumed to be constant at all salary levels and can easily be rescaled.
Two sets of coefficients were estimated, one representing the mean utility impact of the attributes (fixed effects), the other representing variation among individuals in their preferences (random effects).
The Wilcoxon rank sum test was also used to evaluate the null hypothesis of an average mean difference of zero, and the Spearman correlation coefficient was used to evaluate the relationship between the differences in the utility scores and the mean utility scores.
Mean utility values of responses are analyzed with Taguchi method and analysis of variance.
Mean utility and PAC-QOL scores are presented as mean ± standard deviation.
which can be applied to (4) to calculate the marginal utility coefficients α m,l ≥0.
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