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 an α of 0.05?
Communication | |||
Worry | low | med | high |
negative | 7 6 8 6 8 |
8 4 5 4 5 |
6 7 4 6 5 |
positive | 8 6 6 7 7 |
7 8 6 8 7 |
7 8 6 6 6 |
a) What is the appropriate test statistic?
(na, one-way ANOVA ,within-subjects ANOVA ,two-way ANOVA )
b) Compute the appropriate test statistic(s) to
make a decision about H0.
Worry: p-value
=
Communication: p-value
=
Interaction: p-value
=
c) Using the SPSS results,
compute the corresponding effect size(s) and indicate
magnitude(s).
Worry: η2
= ; -(na, trivial effect. small effect.
medium effect, large effect)
Communication: η2 = ;
(na, trivial effect, small effect, medium effect, large
effect)
Interaction: η2 = ; (
na, trivial effect, small effect, medium effect, large
effect)
a)
two-way ANOVA
b)
Applying two way ANOVA:
Source of Variation | SS | df | MS | F | P-value | F crit |
Worry | 6.5333 | 1 | 6.5333 | 5.4444 | 0.0283 | 4.2597 |
Communication | 3.8000 | 2 | 1.9000 | 1.5833 | 0.2260 | 3.4028 |
Interaction | 6.0667 | 2 | 3.0333 | 2.5278 | 0.1009 | 3.4028 |
Within | 28.8000 | 24 | 1.2000 | |||
Total | 45.2000 | 29 |
Worry: p-value = 0.0283
Communication: p-value = 0.2260
Interaction: p-value = 0.1009
c)
Worry: η2 = SS(worry)/SS(total) =6.5333/45.2000=0.1445 , medium effect
Communication: η2 =3.80/45.20 =0.0841 , small effect
Interaction: η2 = 6.0667/45.20 =0.1342 medium effect
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