ch 11 quiz.docx - 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

ch 11 quiz.docx - Question 1 0 out of 0.5 points A...

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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
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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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