What SPECIFIC statistical test would be applied to these data collected to answer the following questions?
What’s the average amount of pain Mr. Smith reported yesterday? Is there a significant difference in depression levels (using a scale of 0-60) between pts who take citalopram at 40 mg/d versus those who take citalopram at 80 mg/d?
Are levels of job stress higher among RNs who work in pediatric or adult ICUs?
To answer these questions, you would need to apply different statistical tests based on the specific data and research design. Here are the specific tests that could be appropriate for each question:
1. What's the average amount of pain Mr. Smith reported yesterday?
If you have collected data on pain levels reported by Mr. Smith on a numerical scale, you can use a one-sample t-test to determine whether the average pain level differs significantly from a specific value (e.g., no pain). This test compares the mean of the observed data to a hypothetical "null" mean.
2. Is there a significant difference in depression levels between patients who take citalopram at 40 mg/d versus 80 mg/d?
For this question, you can utilize an independent samples t-test. This test compares the means of two independent groups (40 mg/d and 80 mg/d) to determine if there is a significant difference in depression levels. Ensure that your data meets the assumptions of this test, such as normality and homogeneity of variances.
3. Are levels of job stress higher among RNs who work in pediatric or adult ICUs?
To answer this question, you can conduct a paired samples t-test if you have collected data on job stress levels from the same RNs who have worked in both pediatric and adult ICUs. If you have data from different RNs, you would use an independent samples t-test. This test compares the means of two groups (pediatric and adult ICUs) to assess if there is a significant difference in job stress.
Remember, the appropriateness of these tests depends on factors such as the nature of the data, sample size, assumptions of the tests, and the research design. It's essential to consult with a statistician or use statistical software to ensure accurate analysis and interpretation.