NURS 8201 Week 5 Assignment: T-Tests and ANOVA

You are a DNP-Prepared nurse tasked with evaluating patient care at your practice compared to patient care at affiliated practices. You have noticed that a key complaint from your patients concerns the wait times associated with each patient visit. Based on these complaints, you have decided to compare the wait times at your practice to the wait times at affiliated practices. After recording the wait times at each practice, for 50 individual patients at each practice, you are now prepared to analyze your data. What approach will you use to analyze the data?

In the scenario provided, you might decide to use, the Analysis of Variance (ANOVA) approach.  “ANOVA is a statistical procedure that compares data between two or more groups or conditions to investigate the presence of differences between those groups on some continuous dependent variable” (Gray & Grove, 2020). ANOVA is often a recommended statistical technique, as it has low chance of error for determining differences between three or more groups.

For this Assignment, analyze the ANOVA statistics provided in the ANOVA Exercises SPSS Output document. Examine the results to determine the differences and reflect on how you would interpret these results.

_{Reference: Gray, J. R., & Grove, S. K. (2020). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (9th ed.). Elsevier.}

The Assignment: (2–3 pages)

• Summarize your interpretation of the ANOVA statistics provided in the Week 5 ANOVA Exercises SPSS Output document.
  • Note: Interpretation of the ANOVA output should include identification of the -value to determine whether the differences between the group means are statistically significant.
  • Be sure to accurately evaluate each of the results presented (descriptives, ANOVA results, and multiple comparisons using post-hoc analysis)

SOLUTION NURS 8201 Week 5 Assignment: T-Tests and ANOVA

Analysis of variance

According to Mishra et al. (2019), the Analysis of Variance (ANOVA) is a statistical procedure that is utilized to compare the means of three or more sets of data in order to ascertain whether or not there are statistically significant differences between them. An analysis of variance (ANOVA) is a statistical technique that divides the overall variation that is observed in the data into two distinct components, the variance that is attributable to differences between groups and the variance that is due to differences within groups.. By comparing these variances, ANOVA provides us with a way to determine if the differences between group means are likely to be due to actual group differences or just random variation (Yu et al., 2022)….

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