Hospice programs provide crucial services for individuals with terminal illnesses and their families. Two divergent staffing paradigms are implemented in hospice programs. The first paradigm uses only masters-level providers, while the second primarily uses bachelor-level providers with a masters-level supervisor. Researchers are interested in determining if there are differences between the paradigms in terms of client satisfaction. Which type of data analysis can measure differences between two groups?

Question

Quizplus · Accepted Answer

A t-test is a statistical analysis used to compare the means of two groups. In this case, the researchers are interested in comparing client satisfaction between two groups (hospice programs with only masters-level providers versus programs with mainly bachelor-level providers and a masters-level supervisor). A t-test would be an appropriate analysis to determine if there are significant differences in client satisfaction between the two groups. ANOVA could also be used if there are more than two groups being compared, but in this case, there are only two. Correlation and descriptive statistics are not appropriate for comparing differences between two groups.

Hospice Programs Provide Crucial Services for Individuals with Terminal Illnesses