Influence of Satisfaction with Services on Assisted Living Resident Satisfaction

The purpose of our investigation was to provide insight into the service domains that most heavily influenced self-reported resident satisfaction among residents in assisted living facilities. Data was gathered from the 2008 Press Ganey Assisted Living Survey. Satisfaction with service domains was measured using 7 subscales addressing the areas of activities, staff attentiveness, meals, apartment space, facility attractiveness, personal issues, and management. Generalized linear mixed models were specified to assess the influence of demographics, functional status, self-rated health, and satisfaction with service domains on resident satisfaction. In the final multivariate model self-rated health, independence with laundry and finances, and satisfaction with aides, meals and management demonstrated a significant positive effect on resident satisfaction. As the number of assisted living facilities continues to increase, senior management would be wise to consider which domains of service are particularly salient in assisted living environments.     

New confidence interval estimator of the signal-to-noise ratio based on asymptotic sampling distribution

In this paper, the asymptotic distribution of the signal-to-noise ratio (SNR) is derived and a new confidence interval for the SNR is introduced. An evaluation of the performance of the new interval compared to Sharma and Krishna (S–K) (1994) confidence interval for the SNR using Monte Carlo simulations is conducted. Data were randomly generated from normal, log-normal, χ², Gamma, and Weibull distributions. Simulations revealed that the performance of S–K interval is totally dependent on the amount of noise introduced and that it has a constant width for a given sample size. The S–K interval performs poorly in four of the distributions unless the SNR is around one. It is recommended against using the S–K interval for data from log-normal distribution even with SNR = 1. Unlike the S–K interval which does not account for skewness and kurtosis of the distribution, the new confidence interval for the SNR outperforms S–K for all five distributions discussed, especially when SNR?? 2. The proposed ranked set sampling (RSS) instead of simple random sampling (SRS) has improved the performance of both intervals as measured by coverage probability.