In: Math
A group of biochemistry researchers developed a new medication
for treating depression. To assess if the new medication is
effective at treating depression, the researchers obtained a sample
of depressive patients from a local clinic. The patients were then
randomly assigned into taking the medication for a month or not. In
addition, the patients were also randomly assigned into receiving
psychotherapy for a month or not. At the end of the study, the
patients were asked to fill out a depression inventory in which a
higher score indicates more depression. The data are below. What
can be concluded with α = 0.05?
Psychotherapy
Medication | no | yes |
---|---|---|
no | 10 11 9 13 |
12 10 13 8 |
yes | 11 13 8 9 |
4 3 7 6 |
a) What is the appropriate test statistic?
---Select--- na one-way ANOVA within-subjects ANOVA two-way
ANOVA
b) Compute the appropriate test statistic(s) to
make a decision about H0.
Medication: p-value = ;
Decision: ---Select--- Reject H0 Fail to reject H0
Psychotherapy: p-value = ;
Decision: ---Select--- Reject H0 Fail to reject H0
Interaction: p-value = ;
Decision: ---Select--- Reject H0 Fail to reject H0
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
Medication: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Psychotherapy: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
Interaction: η2
= ; ---Select--- na trivial effect small
effect medium effect large effect
d) Make an interpretation based on the
results.
There is a medication difference in depression.There is no medication difference in depression.
There is a psychotherapy difference in depression.There is no psychotherapy difference in depression.
There is a medication by psychotherapy interaction in depression.There is no medication by psychotherapy interaction in depression.
(a) two way anova
(b)
medication - decision: reject hO, as the p-value is less than typical alpha=0.05
psychotherapy: decision: reject hO, as the p-value is less than typical alpha=0.05
interaction: decision: reject hO , as the p-value is less than typical alpha=0.05
here we want to test the null hypothesis H0 against the alternate hypothesis H1
H0: 1. medication has no effect, against H1: medication has effect
H0: 2. psychotherapy has no effect against H1: psychotherapy has effect
H0: 3. there is no interaction agaist H1: there is interaction
(c)=SS(effect)/Total SS
Source of Variation | |
medication | 49/164=0.2988, large effect |
psyschotherapy | 36/164=0.2195, large effect |
Interaction | 36/164=0.2195, large effect |
Cohen’s (1988) guidelines. According to him:
(d) since we reject the null hypothesis in part (b) so right choices are
following information has been generated using ms-excel
Anova: Two-Factor With Replication | ||||||
SUMMARY | pyed | pno | Total | |||
myes | ||||||
Count | 4 | 4 | 8 | |||
Sum | 43 | 43 | 86 | |||
Average | 10.75 | 10.75 | 10.75 | |||
Variance | 2.916667 | 4.916667 | 3.357143 | |||
mno | ||||||
Count | 4 | 4 | 8 | |||
Sum | 41 | 17 | 58 | |||
Average | 10.25 | 4.25 | 7.25 | |||
Variance | 4.916667 | 1.583333 | 13.07143 | |||
Total | ||||||
Count | 8 | 8 | ||||
Sum | 84 | 60 | ||||
Average | 10.5 | 7.5 | ||||
Variance | 3.428571 | 14.85714 | ||||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
medication | 49 | 1 | 49 | 13.67442 | 0.003047 | 4.747225 |
psyschotherapy | 36 | 1 | 36 | 10.04651 | 0.008075 | 4.747225 |
Interaction | 36 | 1 | 36 | 10.04651 | 0.008075 | 4.747225 |
Within | 43 | 12 | 3.583333 | |||
Total | 164 | 15 |