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WEEK 5 ASSIGNMENT: T-TESTS AND ANOVA You are a DNP-Prepared nurse…
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.
RESOURCES
Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.
WEEKLY RESOURCES
TO PREPARE:
Review the Week 5 ANOVA Exercises SPSS Output provided in this week’s Learning Resources.
Review the Learning Resources on how to interpret ANOVA results to determine differences.
Consider the results presented in the SPSS output and reflect on how you might interpret the results presented.
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)
Week 5 ANOVA Exercises SPSS Output
Descriptives Overall satisfaction, material well-being
N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for
Mean
Minimum
Maximum
Lower Bound
Upper Bound
No Housing Problem
367
12.71
11.97
10.57
11.80
2.353
.123
12.47
12.95
12.28
10.86
11.97
4
16
One Housing Problem
264
2.588
.159
11.66
4
16
Two or More Housing
304
2.594
.149
10.28
4
16
Problems
Total
935
2.658
.087
11.63
4
16
Test of Homogeneity of Variances
Overall satisfaction, material well-being
Levene Statistic
df1
df2
Sig.
2.109
2
932
.122
ANOVA
Overall satisfaction, material well-being
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
771.072 5826.111
6597.183
2
385.536
61.674
.000
Within Groups
932
6.251
Total
934
Multiple Comparisons
Overall satisfaction, material well-being
Tukey HSD
(I) Housing Problems
(J) Housing Problems
Mean
Difference (I-J)
Std. Error
Sig.
95% Confidence Interval
Lower Bound
Upper Bound
No Housing Problem
One Housing Problem
.739*
.202
.001
.27
1.21
Two or More Housing
Problems
2.139*
.194
.000
1.68
2.59
One Housing Problem
No Housing Problem
-.739*
.202
.001
-1.21
-.27
Two or More Housing
Problems
1.401*
.210
.000
.91
1.89
Two or More Housing
Problems
No Housing Problem
-2.139*
.194
.000
-2.59
-1.68
One Housing Problem
-1.401*
.210
.000
-1.89
-.91
*. The mean difference is significant at the 0.05 level.
