Question 1
0 out of 0.5 points
A dependent-samples
t
test/repeated-measures ANOVA measures the same group of subjects
twice. If the null hypothesis is true, would you expect the means to be exactly the same both
times?
Selected
Answer:
Yes, because if the null hypothesis is true there is no
treatment effect.
Response
Feedback:
Choice D is correct. Choices A and B incorrectly say Yes. Choice C says No,
but gives an incorrect reason (if the null hypothesis is true, then the treatment
could not have had an effect).
Question 2
0.5 out of 0.5 points
A researcher designed a repeated measures study in which a random sample of 100 cancer
patients was measured—pre-, mid-, and post-treatment—on satisfaction with their care.
Satisfaction was measured with a survey instrument that yielded satisfaction scores from 0 to
50. In checking the assumptions, she found that by the end of the experiment, all the scores
were so high that the data were strongly negatively skewed. Because of that, the differences
between the post-test and pre-test scores were unlike the differences between the post-test and
mid-test scores. Which of the following assumptions has likely been violated?
Selected
Answer:
normali
ty
Question 3
0.5 out of 0.5 points
A group of persons with Parkinson’s Disease (n=27) were asked to complete a survey
regarding their energy levels on a 1(worst) – 5 (best) scale before, during, and
after watching a video of a musical performance. The researcher wanted to know if there
was a significant difference in the participants’ energy levels across the 3 measurements.
Multivariate Tests
a
Effect
Value
F
Hypothesis df
Error df
Sig.
Energy_level
Pillai's Trace
.395
8.172
b
2.000
25.000
.002
Wilks' Lambda
.605
8.172
b
2.000
25.000
.002
Hotelling's Trace
.654
8.172
b
2.000
25.000
.002
Roy's Largest Root
.654
8.172
b
2.000
25.000
.002
a. Design: Intercept
Within Subjects Design: Energy_level
b. Exact statistic
Tests of Within-Subjects Effects
Measure:
MEASURE_1
Source
Type III Sum of
Squares
df
Mean Square
F

Energy_level
Sphericity Assumed
6.691
2
3.346
Greenhouse-Geisser
6.691
1.733
3.862
Huynh-Feldt
6.691
1.846
3.626
Lower-bound
6.691
1.000
6.691
Error(Energy_level)
Sphericity Assumed
23.975
52
.461
Greenhouse-Geisser
23.975
45.052
.532
Huynh-Feldt
23.975
47.983
.500
Lower-bound
23.975
26.000
.922
Tests of Within-Subjects Contrasts
Measure:
MEASURE_1
Source
Energy_level
Type III Sum of
Squares
df
Mean Square
F
Energy_level
Linear
6.685
1
6.685
14.712
Quadratic
.006
1
.006
.013
Error(Energy_level)
Linear
11.815
26
.454
Quadratic
12.160
26
.468
Tests of Between-Subjects Effects
Measure:
MEASURE_1
Transformed Variable:
Average

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- Summer '13
- Staff
- Statistics