Hospital administrators at a local hospital are interested in quality of care. As such, they ask a random sample of patients that have used the hospital's health care services to fill out a questionnaire. The questionnaire has questions about the patient's worry (negative, positive), the hospital staff's communication skills (low, medium, high), and satisfaction with medical care. The administrators are interested in how patient's worry and their assessment of the hospital staff's communication impact their satisfaction with medical care. The survey data are below. What can the administrators conclude with α = 0.01?
Communication | |||
Worry | low | med | high |
negative | 7 6 8 6 8 |
5 4 5 4 5 |
7 7 4 6 5 |
positive | 8 6 6 7 7 |
7 8 6 8 7 |
7 8 6 6 6 |
Using the SPSS results, compute the
corresponding effect size(s) and indicate magnitude(s).
Worry: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Communication: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Interaction: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Applying two way ANOVA:
Source of Variation | SS | df | MS | F | P-value | F crit |
worry | 8.5333 | 1 | 8.5333 | 9.8462 | 0.0045 | 7.8229 |
Communication | 5.2667 | 2 | 2.6333 | 3.0385 | 0.0666 | 5.6136 |
Interaction | 10.0667 | 2 | 5.0333 | 5.8077 | 0.0088 | 5.6136 |
Within | 20.8000 | 24 | 0.8667 | |||
Total | 44.6667 | 29 |
Worry: η2 =8.5333/44.6667 =0.1910 , medium effect
Communication: η2 = 5.2667/44.6667 =0.1179 , medium effect
Interaction: η2 =10.0667/44.6667 =0.2254 , medium effect
Get Answers For Free
Most questions answered within 1 hours.