Exam 15: Random- and Mixed-Effects Analysis of Variance Models

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How many hypotheses are tested in a one-factor repeated measures ANOVA?

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In the same study as described in Question 5, suppose Ravi randomly assigned half of the selected patients to follow a specific diet plan (the other half are controls). Patient blood pressure is recorded every month over the course of one year. Ravi wanted to examine whether the diet plan made any difference in blood pressure. Which ANOVA model is most appropriate for analysis of these data?

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If the assumption of sphericity (i.e., compound symmetry) is violated, what should the researcher do?

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In a taste test, the participants are asked to taste each of the three types of pies (the order is counterbalanced), and then rate how much they like each flavor. To compare the average ratings for each type of pie, which ANOVA model is most appropriate?

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In a one-factor repeated measures ANOVA, A (fixed factor) has 4 levels, and each cell has 10 observations. The FA ratio has degrees of freedom equal to?

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Suppose two researchers perform a one-factor ANOVA on the same data, but researcher A assumes a fixed-effects model, whereas researcher B assumes a random-effects model. Which of the following statements is false?

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Dr. Bellus wants to study how people's perception of attractiveness is affected by the gender of the subjects, and the facial expression of the object. Each participant views six headshots (in random order) of the same person, who demonstrates different facial expressions (joy, surprise, fear, anger, sadness, and disgust) in each picture. The participants are then asked to rate the attractiveness level of each picture. The rating is the dependent variable. Below is the selected output of a two-factor split plot ANOVA. Test of Between-Subjects Effects Source Type III SS df MS F A (between-subjects factor) 226.81 1 226.81 3.04 S (subject) 2084.61 28 74.45 Test of Within-Subjects Effects Test of Within-Subjects Effects Source Type III SS df MS F B (within-subjects factor) 18802.53 5 3760.506 38.07 324.22 5 64.84 0.66 13829.70 140 98.78 (a) Identify the between-subjects factor and within-subjects factor. (b) Are the effects significant ( α\alpha = .05)? What do these results tell us about people's perception of attractiveness? (c) Is MCP necessary? If so, which effect(s) should we conduct MCP on?

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Candace conducts a study to examine the effect of a professional development program on teachers' content knowledge. Half of the teachers are randomly assigned to participate in the program (the other half are controls). All teachers are then tested on their content knowledge each month over the course of the academic year. Which ANOVA model is most appropriate for analysis of these data?

(Multiple Choice)
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Using the same data as in Problem 3, conduct a two-factor split-plot ANOVA, where the first six teachers participate in a professional development program throughout their first year of teaching, and the last six teachers do not participate in the program ( α\alpha = 05). Does the program seem to have an effect on the change in teachers' pedagogical content knowledge?

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In a two-factor ANOVA, A (fixed factor) has 3 levels, and B (random factor) has 5 levels. Each cell has 5 observations. The FA ratio has degrees of freedom equal to?

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