Exam 14: GlM 3: Factorial Designs
Exam 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics26 Questions
Exam 2: The Spine of Statistics29 Questions
Exam 3: The Phoenix of Statistics16 Questions
Exam 4: The IBM Spss Statistics Environment27 Questions
Exam 5: Exploring Data With Graphs23 Questions
Exam 6: The Beast of Bias32 Questions
Exam 7: Non-Parametric Models21 Questions
Exam 8: Correlation19 Questions
Exam 9: Regression33 Questions
Exam 10: Comparing Two Means20 Questions
Exam 11: Moderation, Mediation and More Regression21 Questions
Exam 12: GlM 1: Comparing Several Independent Means28 Questions
Exam 13: GlM 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance20 Questions
Exam 14: GlM 3: Factorial Designs30 Questions
Exam 15: GlM 4: Repeated-Measures Designs31 Questions
Exam 16: GlM 5: Mixed Designs19 Questions
Exam 17: Multivariate Analysis of Variance Manova20 Questions
Exam 18: Exploratory Factor Analysis19 Questions
Exam 19: Categorical Outcomes: Chi-Square and Loglinear Analysis19 Questions
Exam 20: Categorical Outcomes: Logistic Regression20 Questions
Exam 21: Multilevel Linear Models20 Questions
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An experiment was done to look at whether there is an effect of the number of hours spent practising a musical instrument and gender on the level of musical ability. A sample of 30 (15 men and 15 women) participants who had never learnt to play a musical instrument before were recruited. Participants were randomly allocated to one of three groups that varied in the number of hours they would spend practising every day for 1 year (0 hours, 1 hours, 2 hours). Men and women were divided equally across groups. All participants had a one-hour lesson each week over the course of the year, after which their level of musical skill was measured on a 10-point scale ranging from 0 (you can't play for toffee) to 10 ('Are you Mozart reincarnated?').
- An ANOVA was conducted on the data from the experiment. What can we say about the effect of practice on musical skill?



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(Multiple Choice)
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An experiment was done to look at the positive arousing effects of imagery on different people. A sample of statistics lecturers was compared against a group of students. Both groups received presentations of positive images (e.g., cats and bunnies), neutral images (e.g., duvets and light bulbs), and negative images (e.g., corpses and vivisection photographs). Positive arousal was measured physiologically (high values indicate positive arousal) both before and after each batch of images. The order in which participants saw the batches of positive, neutral and negative images was randomized to avoid order effects. It was hypothesized that positive images would increase positive arousal, negative images would reduce positive arousal and that neutral images would have no effect. Differences between the subject groups (lecturers and students) were not expected. What technique should be used to analyse these data?
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(Multiple Choice)
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An experiment was done to look at whether there is an effect of the number of hours spent practising a musical instrument and gender on the level of musical ability. A sample of 30 (15 men and 15 women) participants who had never learnt to play a musical instrument before were recruited. Participants were randomly allocated to one of three groups that varied in the number of hours they would spend practising every day for 1 year (0 hours, 1 hours, 2 hours). Men and women were divided equally across groups. All participants had a one-hour lesson each week over the course of the year, after which their level of musical skill was measured on a 10-point scale ranging from 0 (you can't play for toffee) to 10 ('Are you Mozart reincarnated?').
-An ANOVA was conducted on the data from the experiment. Looking at the output below, which of the following sentences is correct?



(Multiple Choice)
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A study found that 50 pedestrians gave more money to a street beggar if the beggar had a cute and hungry-looking dog with them compared to if they were alone. The gender of the pedestrians was also noted. Which of the following sentences describes a simple effects analysis on these data?
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An experiment was done to look at whether there is an effect of the number of hours spent practising a musical instrument and gender on the level of musical ability. A sample of 30 (15 men and 15 women) participants who had never learnt to play a musical instrument before were recruited. Participants were randomly allocated to one of three groups that varied in the number of hours they would spend practising every day for 1 year (0 hours, 1 hours, 2 hours). Men and women were divided equally across groups. All participants had a one-hour lesson each week over the course of the year, after which their level of musical skill was measured on a 10-point scale ranging from 0 (you can't play for toffee) to 10 ('Are you Mozart reincarnated?').
-Which of the following sentences regarding the ANOVA output below is correct?




(Multiple Choice)
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What is the Interaction effect in an Independent Factorial Design?
(Multiple Choice)
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A medical researcher wanted to test and compare the impact of three different dietary supplements as a means to examine to what extent dietary supplements can speed up wound healing times. She randomly selected 36 patients and then randomly divided this group into three subgroups: a 'Placebo' group who ingested sugar-pills; a 'Vitamin X' group who took vitamin pills; and a 'Kale' group who took Kale pills. The study involved the groups taking their pill-based supplements three times a day for one week and at the end, their wound healing times were recorded What sort of research design is this?
(Multiple Choice)
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An experiment was done to look at whether there is an effect of the number of hours spent practising a musical instrument and gender on the level of musical ability. A sample of 30 (15 men and 15 women) participants who had never learnt to play a musical instrument before were recruited. Participants were randomly allocated to one of three groups that varied in the number of hours they would spend practising every day for 1 year (0 hours, 1 hours, 2 hours). Men and women were divided equally across groups. All participants had a one-hour lesson each week over the course of the year, after which their level of musical skill was measured on a 10-point scale ranging from 0 (you can't play for toffee) to 10 ('Are you Mozart reincarnated?').
-An ANOVA was conducted on these data, and the results revealed significant main effects of gender and the number of hours spent practising. You predicted that some practice would be better than none, and that 2 hours would be better than 1. Which of SPSS's built-in contrasts should you use to test these hypotheses?
(Multiple Choice)
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study was conducted to look at whether caffeine improves productivity at work in different conditions. There were two independent variables. The first independent variable was email, which had two levels: 'email access' and 'no email access'. The second independent variable was caffeine, which also had two levels: 'caffeinated drink' and 'decaffeinated drink'. Different participants took part in each condition. Productivity was recorded at the end of the day on a scale of 0 (I may as well have stayed in bed) to 20 (wow! I got enough work done today to last all year).
-Looking at the group means in the table below, which of the interpretations below is correct? Decaffeinated Drink Caffeinated Drink No Email 12.08 19.83 Email 11.98 5.49
(Multiple Choice)
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An experiment was done to look at whether there is an effect of the number of hours spent practising a musical instrument and gender on the level of musical ability. A sample of 30 (15 men and 15 women) participants who had never learnt to play a musical instrument before were recruited. Participants were randomly allocated to one of three groups that varied in the number of hours they would spend practising every day for 1 year (0 hours, 1 hours, 2 hours). Men and women were divided equally across groups. All participants had a one-hour lesson each week over the course of the year, after which their level of musical skill was measured on a 10-point scale ranging from 0 (you can't play for toffee) to 10 ('Are you Mozart reincarnated?').
-An ANOVA was conducted on the data from the experiment. Which of the following sentences best describes the pattern of results shown in the graph? 

(Multiple Choice)
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An experiment was done to look at whether there is an effect of the number of hours spent practising a musical instrument and gender on the level of musical ability. A sample of 30 (15 men and 15 women) participants who had never learnt to play a musical instrument before were recruited. Participants were randomly allocated to one of three groups that varied in the number of hours they would spend practising every day for 1 year (0 hours, 1 hours, 2 hours). Men and women were divided equally across groups. All participants had a one-hour lesson each week over the course of the year, after which their level of musical skill was measured on a 10-point scale ranging from 0 (you can't play for toffee) to 10 ('Are you Mozart reincarnated?').
-An ANOVA was conducted on these data, and the results revealed significant main effects of gender and the number of hours spent practising. Which of the following contrasts could we use to break down the effect of gender?
(Multiple Choice)
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When interpreting F(3, 26) = 12.66, p < .01, how many groups were tested?
(Multiple Choice)
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What type of ANOVA is used when there are two independent variables each with more than two levels, and with different participants taking part in each condition?
(Multiple Choice)
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study was conducted to look at whether caffeine improves productivity at work in different conditions. There were two independent variables. The first independent variable was email, which had two levels: 'email access' and 'no email access'. The second independent variable was caffeine, which also had two levels: 'caffeinated drink' and 'decaffeinated drink'. Different participants took part in each condition. Productivity was recorded at the end of the day on a scale of 0 (I may as well have stayed in bed) to 20 (wow! I got enough work done today to last all year).
- Which of the following tests could we use to analyse these data?
(Multiple Choice)
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What problem is faced when trying to compute Bayes factors for factorial designs using SPSS?
(Multiple Choice)
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An educational researcher wanted to test and compare the impact of three different learning environments on children's confidence with maths. She randomly selected 24 students and then randomly divided this group into three subgroups: a 'Placebo' group who did a maths test in their usual classroom environment; an 'Outdoor' group who did a maths test in an outdoor setting within the school grounds; and a 'Chill out' group who did a maths test in a 'chill out' space within the school, that had dimmed lighting, music and casual seating. The children spent one hour within their settings and their maths scores were recorded at the end of the test. What sort of research design is this?
(Multiple Choice)
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A study was conducted to look at whether caffeine improves productivity at work in different conditions. There were two independent variables. The first independent variable was email, which had two levels: 'email access' and 'no email access'. The second independent variable was caffeine, which also had two levels: 'caffeinated drink' and 'decaffeinated drink'. Different participants took part in each condition. Productivity was recorded at the end of the day on a scale of 0 (I may as well have stayed in bed) to 20 (wow! I got enough work done today to last all year).
- Looking at the group means in the table below, which of the following statements best describes the data? Decaffeinated Drink Caffeinated Drink No Email 12.08 19.83 Email 11.98 5.49
(Multiple Choice)
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