Deck 16: Glm 5: Mixed Designs

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Question
Examine the within-group effects table. Which conditions were significant?

A) Shoe
B) Shoe × platform
C) Platform*
D) Gender × shoe × platform
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Question
Suppose you wished to investigate the force exerted on a force platform between men and women with three different types of footwear (barefoot, no cushioning, basic neutral shoe, BC; and complex cushioned neutral shoe, CCS). If you wished to compare the force exerted when running barefoot with the BC shoe and then the CCS shoe, what type of contrast might be appropriate?

A) Simple
B) Repeated
C) Helmert
D) Deviation
Question
Which variable would be considered the between-groups variable?

A) Running status
B) Concentration
C) Flavoured water (placebo)
D) 9% solution (high dose)
Question
How many levels were measured on the running status variable?

A) 2
B) 3
C) 4
Question
If specific hypotheses to particular research questions are required, which of the following would be most appropriate?

A) Contrasts
B) Post hoc tests
C) Multiple t-tests
D) The ANOVA result alone is sufficient.
Question
If you were investigating mental alertness when exposed to prolonged periods of sleep deprivation, what would be the most appropriate contrast to use if you were interested in the reduction in alertness from hour to hour (e.g. 1 vs. 2 h, 2 vs. 3 h, 3 vs. 4 h, etc.)?

A) Repeated
B) Simple
C) Helmert
D) Deviation
Question
What do the between-group effects tell us about the gender variable?

A) There is no significant difference between male and female participants.
B) There is a significant difference between male and female participants.
C) There is significant difference between male and female participants when associated with the platform variable.
D) The results were marginally non-significant.
Question
The platform × gender interaction produced the following result: F(1,14) = .395, p = .54, <strong>The platform × gender interaction produced the following result: F<sub>(1,14)</sub> = .395, p = .54,   = .027. Which of the following descriptions best describes the result?</strong> A) There was no significant interaction between the platform and gender variables and the effect size was weak. B) There was a significant interaction between the platform and gender variables, but the effect size was weak. C) There was no significant interaction between the platform and gender variables but the effect size was strong. D) There was a significant interaction between the platform and gender variables and the effect size was strong. <div style=padding-top: 35px> = .027. Which of the following descriptions best describes the result?

A) There was no significant interaction between the platform and gender variables and the effect size was weak.
B) There was a significant interaction between the platform and gender variables, but the effect size was weak.
C) There was no significant interaction between the platform and gender variables but the effect size was strong.
D) There was a significant interaction between the platform and gender variables and the effect size was strong.
Question
Analyse the SPSS file by running a mixed design ANOVA with a simple contrast for all three independent variables. You should see the following table. Why is there not a Mauchley's test significance value for the platform variable (i.e. whether the participants could see the force platform or not)? <strong>Analyse the SPSS file by running a mixed design ANOVA with a simple contrast for all three independent variables. You should see the following table. Why is there not a Mauchley's test significance value for the platform variable (i.e. whether the participants could see the force platform or not)?  </strong> A) There are only two levels for this variable. B) The data were not normally distributed. C) Levene's test was significant. D) The Kolmogorov-Smirnov test was not significant. <div style=padding-top: 35px>

A) There are only two levels for this variable.
B) The data were not normally distributed.
C) Levene's test was significant.
D) The Kolmogorov-Smirnov test was not significant.
Question
If you wanted to run a simple contrast on the force exerted when running over a force platform and you used the barefoot trial as control, where would it be best to position it in the SPSS data editor?

A) As the first data set
B) As the second data set
C) As the third data set
D) As the first or third data set
Question
What does the within-groups table refer to?

A) Repeated-measures effects only
B) Interaction effects only
C) Repeated-measures and interaction effects
D) Between group effects
Question
Which variable would be considered the within-groups variable?

A) Running status
B) Concentration
C) Flavoured water (placebo)
D) 9% solution (high dose)
Question
A mixed design ANOVA is based on which type of model?

A) Linear
B) Binomial
C) Syntax
D) Asymmetrical
Question
When running a mixed design ANOVA for a particular experiment a significant Levene's test is found. What is the most likely cause?

A) Outlying data points / observations
B) Similar variance between the data sets
C) Data are normally distributed
D) Sphericity cannot be assumed
Question
If you were to introduce an additional variable called 'force platform status' which denoted whether the force platform was visible to the participants or not, how many experimental conditions would there be?

A) 5
B) 7
C) 9
D) 11
Question
If one or more of the conditions was significant, what would be the next appropriate step?

A) Transform the data to stabilize the variance between the groups.
B) No action is required as a mixed design ANOVA is stable enough to withstand a heterogeneous result.
C) A non-parametric equivalent to a mixed design ANOVA is required.
D) None of the above actions are appropriate.
Question
Analyse the following output box. What can be deduced from the results of Levene's test? <strong>Analyse the following output box. What can be deduced from the results of Levene's test?  </strong> A) All the values are significant. B) All the values are not significant. C) With the exception of the barefoot unseen condition, all the values are significant. D) With the exception of the barefoot unseen condition, all the values are not significant. <div style=padding-top: 35px>

A) All the values are significant.
B) All the values are not significant.
C) With the exception of the barefoot unseen condition, all the values are significant.
D) With the exception of the barefoot unseen condition, all the values are not significant.
Question
What can be deduced about the sphericity of the shoe and shoe × platform variables?

A) Both variables are non-significant, and therefore sphericity can be assumed.
B) Both variables are significant, and therefore sphericity can be assumed.
C) Both variables are non-significant, and therefore sphericity cannot be assumed.
D) Both variables are significant, and therefore sphericity cannot be assumed.
Question
A simple contrast was performed between the barefoot (BF) strike and the basic sole (BS) strike and barefoot strike with the cushioned sole (CS) strike. The results were as follows, but how would you interpret them? F(1,14) = 98.28, p < .001, <strong>A simple contrast was performed between the barefoot (BF) strike and the basic sole (BS) strike and barefoot strike with the cushioned sole (CS) strike. The results were as follows, but how would you interpret them? F<sub>(1,</sub><sub>14)</sub> = 98.28, p < .001,   = .88 (BS vs. BF) F<sub>(1,14)</sub> = 141.13, p < .001,   = .91 (CS vs. BF)</strong> A) Both the BS and CS conditions yielded significantly lower force strikes when compared with the BF condition. B) Both the BS and CS conditions yielded significantly higher force strikes when compared with the BF condition. C) The results between the three conditions were not significantly different. D) The CS condition yielded significantly lower force strikes when compared with the BF condition, but the BS produced a significantly greater force strike than the BF condition. <div style=padding-top: 35px> = .88 (BS vs. BF)
F(1,14) = 141.13, p < .001, <strong>A simple contrast was performed between the barefoot (BF) strike and the basic sole (BS) strike and barefoot strike with the cushioned sole (CS) strike. The results were as follows, but how would you interpret them? F<sub>(1,</sub><sub>14)</sub> = 98.28, p < .001,   = .88 (BS vs. BF) F<sub>(1,14)</sub> = 141.13, p < .001,   = .91 (CS vs. BF)</strong> A) Both the BS and CS conditions yielded significantly lower force strikes when compared with the BF condition. B) Both the BS and CS conditions yielded significantly higher force strikes when compared with the BF condition. C) The results between the three conditions were not significantly different. D) The CS condition yielded significantly lower force strikes when compared with the BF condition, but the BS produced a significantly greater force strike than the BF condition. <div style=padding-top: 35px> = .91 (CS vs. BF)

A) Both the BS and CS conditions yielded significantly lower force strikes when compared with the BF condition.
B) Both the BS and CS conditions yielded significantly higher force strikes when compared with the BF condition.
C) The results between the three conditions were not significantly different.
D) The CS condition yielded significantly lower force strikes when compared with the BF condition, but the BS produced a significantly greater force strike than the BF condition.
Question
Ten experienced and ten novice distance runners (running status) were asked to run four marathons. During each run, a different carbohydrate solution (concentration) was consumed (flavoured water, placebo; 3% solution, low dose; 6% solution, medium dose; 9% solution, high dose) and race time was recorded. How many independent variables were measured?

A) 2
B) 3
C) 4
D) 5
Question
Overall, how would you summarize the data presented in this example?

A) The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position.
B) The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position.
C) The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position.
D) The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position.
Question
Calculate the r-value (effect size) for the platform variable contrast assuming that F(1,dfR) = 57.1 and dfR = 14.

A) .8
B) 15
C) 1.2
D) 1.0
Question
The following table refers to the results from the Bonferroni post hoc tests that were performed on the three shoe conditions (1 = barefoot, 2 = basic neutral shoe and 3 = complex neutral shoe). What does this post hoc test table contribute to our understanding of the results that the contrast did not? <strong>The following table refers to the results from the Bonferroni post hoc tests that were performed on the three shoe conditions (1 = barefoot, 2 = basic neutral shoe and 3 = complex neutral shoe). What does this post hoc test table contribute to our understanding of the results that the contrast did not?  </strong> A) Whether a significant difference exists between the BS and the CS conditions. B) The post hoc test table does not contribute anything to our understanding as the contrast is more specific. C) The post hoc test explains the same concepts as the contrast but is more accurate. D) A homogeneity of variance result is provided. <div style=padding-top: 35px>

A) Whether a significant difference exists between the BS and the CS conditions.
B) The post hoc test table does not contribute anything to our understanding as the contrast is more specific.
C) The post hoc test explains the same concepts as the contrast but is more accurate.
D) A homogeneity of variance result is provided.
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Deck 16: Glm 5: Mixed Designs
1
Examine the within-group effects table. Which conditions were significant?

A) Shoe
B) Shoe × platform
C) Platform*
D) Gender × shoe × platform
Shoe
2
Suppose you wished to investigate the force exerted on a force platform between men and women with three different types of footwear (barefoot, no cushioning, basic neutral shoe, BC; and complex cushioned neutral shoe, CCS). If you wished to compare the force exerted when running barefoot with the BC shoe and then the CCS shoe, what type of contrast might be appropriate?

A) Simple
B) Repeated
C) Helmert
D) Deviation
Simple
3
Which variable would be considered the between-groups variable?

A) Running status
B) Concentration
C) Flavoured water (placebo)
D) 9% solution (high dose)
Running status
4
How many levels were measured on the running status variable?

A) 2
B) 3
C) 4
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5
If specific hypotheses to particular research questions are required, which of the following would be most appropriate?

A) Contrasts
B) Post hoc tests
C) Multiple t-tests
D) The ANOVA result alone is sufficient.
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6
If you were investigating mental alertness when exposed to prolonged periods of sleep deprivation, what would be the most appropriate contrast to use if you were interested in the reduction in alertness from hour to hour (e.g. 1 vs. 2 h, 2 vs. 3 h, 3 vs. 4 h, etc.)?

A) Repeated
B) Simple
C) Helmert
D) Deviation
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k this deck
7
What do the between-group effects tell us about the gender variable?

A) There is no significant difference between male and female participants.
B) There is a significant difference between male and female participants.
C) There is significant difference between male and female participants when associated with the platform variable.
D) The results were marginally non-significant.
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8
The platform × gender interaction produced the following result: F(1,14) = .395, p = .54, <strong>The platform × gender interaction produced the following result: F<sub>(1,14)</sub> = .395, p = .54,   = .027. Which of the following descriptions best describes the result?</strong> A) There was no significant interaction between the platform and gender variables and the effect size was weak. B) There was a significant interaction between the platform and gender variables, but the effect size was weak. C) There was no significant interaction between the platform and gender variables but the effect size was strong. D) There was a significant interaction between the platform and gender variables and the effect size was strong. = .027. Which of the following descriptions best describes the result?

A) There was no significant interaction between the platform and gender variables and the effect size was weak.
B) There was a significant interaction between the platform and gender variables, but the effect size was weak.
C) There was no significant interaction between the platform and gender variables but the effect size was strong.
D) There was a significant interaction between the platform and gender variables and the effect size was strong.
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9
Analyse the SPSS file by running a mixed design ANOVA with a simple contrast for all three independent variables. You should see the following table. Why is there not a Mauchley's test significance value for the platform variable (i.e. whether the participants could see the force platform or not)? <strong>Analyse the SPSS file by running a mixed design ANOVA with a simple contrast for all three independent variables. You should see the following table. Why is there not a Mauchley's test significance value for the platform variable (i.e. whether the participants could see the force platform or not)?  </strong> A) There are only two levels for this variable. B) The data were not normally distributed. C) Levene's test was significant. D) The Kolmogorov-Smirnov test was not significant.

A) There are only two levels for this variable.
B) The data were not normally distributed.
C) Levene's test was significant.
D) The Kolmogorov-Smirnov test was not significant.
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10
If you wanted to run a simple contrast on the force exerted when running over a force platform and you used the barefoot trial as control, where would it be best to position it in the SPSS data editor?

A) As the first data set
B) As the second data set
C) As the third data set
D) As the first or third data set
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11
What does the within-groups table refer to?

A) Repeated-measures effects only
B) Interaction effects only
C) Repeated-measures and interaction effects
D) Between group effects
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12
Which variable would be considered the within-groups variable?

A) Running status
B) Concentration
C) Flavoured water (placebo)
D) 9% solution (high dose)
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13
A mixed design ANOVA is based on which type of model?

A) Linear
B) Binomial
C) Syntax
D) Asymmetrical
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14
When running a mixed design ANOVA for a particular experiment a significant Levene's test is found. What is the most likely cause?

A) Outlying data points / observations
B) Similar variance between the data sets
C) Data are normally distributed
D) Sphericity cannot be assumed
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k this deck
15
If you were to introduce an additional variable called 'force platform status' which denoted whether the force platform was visible to the participants or not, how many experimental conditions would there be?

A) 5
B) 7
C) 9
D) 11
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16
If one or more of the conditions was significant, what would be the next appropriate step?

A) Transform the data to stabilize the variance between the groups.
B) No action is required as a mixed design ANOVA is stable enough to withstand a heterogeneous result.
C) A non-parametric equivalent to a mixed design ANOVA is required.
D) None of the above actions are appropriate.
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17
Analyse the following output box. What can be deduced from the results of Levene's test? <strong>Analyse the following output box. What can be deduced from the results of Levene's test?  </strong> A) All the values are significant. B) All the values are not significant. C) With the exception of the barefoot unseen condition, all the values are significant. D) With the exception of the barefoot unseen condition, all the values are not significant.

A) All the values are significant.
B) All the values are not significant.
C) With the exception of the barefoot unseen condition, all the values are significant.
D) With the exception of the barefoot unseen condition, all the values are not significant.
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18
What can be deduced about the sphericity of the shoe and shoe × platform variables?

A) Both variables are non-significant, and therefore sphericity can be assumed.
B) Both variables are significant, and therefore sphericity can be assumed.
C) Both variables are non-significant, and therefore sphericity cannot be assumed.
D) Both variables are significant, and therefore sphericity cannot be assumed.
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19
A simple contrast was performed between the barefoot (BF) strike and the basic sole (BS) strike and barefoot strike with the cushioned sole (CS) strike. The results were as follows, but how would you interpret them? F(1,14) = 98.28, p < .001, <strong>A simple contrast was performed between the barefoot (BF) strike and the basic sole (BS) strike and barefoot strike with the cushioned sole (CS) strike. The results were as follows, but how would you interpret them? F<sub>(1,</sub><sub>14)</sub> = 98.28, p < .001,   = .88 (BS vs. BF) F<sub>(1,14)</sub> = 141.13, p < .001,   = .91 (CS vs. BF)</strong> A) Both the BS and CS conditions yielded significantly lower force strikes when compared with the BF condition. B) Both the BS and CS conditions yielded significantly higher force strikes when compared with the BF condition. C) The results between the three conditions were not significantly different. D) The CS condition yielded significantly lower force strikes when compared with the BF condition, but the BS produced a significantly greater force strike than the BF condition. = .88 (BS vs. BF)
F(1,14) = 141.13, p < .001, <strong>A simple contrast was performed between the barefoot (BF) strike and the basic sole (BS) strike and barefoot strike with the cushioned sole (CS) strike. The results were as follows, but how would you interpret them? F<sub>(1,</sub><sub>14)</sub> = 98.28, p < .001,   = .88 (BS vs. BF) F<sub>(1,14)</sub> = 141.13, p < .001,   = .91 (CS vs. BF)</strong> A) Both the BS and CS conditions yielded significantly lower force strikes when compared with the BF condition. B) Both the BS and CS conditions yielded significantly higher force strikes when compared with the BF condition. C) The results between the three conditions were not significantly different. D) The CS condition yielded significantly lower force strikes when compared with the BF condition, but the BS produced a significantly greater force strike than the BF condition. = .91 (CS vs. BF)

A) Both the BS and CS conditions yielded significantly lower force strikes when compared with the BF condition.
B) Both the BS and CS conditions yielded significantly higher force strikes when compared with the BF condition.
C) The results between the three conditions were not significantly different.
D) The CS condition yielded significantly lower force strikes when compared with the BF condition, but the BS produced a significantly greater force strike than the BF condition.
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20
Ten experienced and ten novice distance runners (running status) were asked to run four marathons. During each run, a different carbohydrate solution (concentration) was consumed (flavoured water, placebo; 3% solution, low dose; 6% solution, medium dose; 9% solution, high dose) and race time was recorded. How many independent variables were measured?

A) 2
B) 3
C) 4
D) 5
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21
Overall, how would you summarize the data presented in this example?

A) The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position.
B) The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position.
C) The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position.
D) The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position.
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22
Calculate the r-value (effect size) for the platform variable contrast assuming that F(1,dfR) = 57.1 and dfR = 14.

A) .8
B) 15
C) 1.2
D) 1.0
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23
The following table refers to the results from the Bonferroni post hoc tests that were performed on the three shoe conditions (1 = barefoot, 2 = basic neutral shoe and 3 = complex neutral shoe). What does this post hoc test table contribute to our understanding of the results that the contrast did not? <strong>The following table refers to the results from the Bonferroni post hoc tests that were performed on the three shoe conditions (1 = barefoot, 2 = basic neutral shoe and 3 = complex neutral shoe). What does this post hoc test table contribute to our understanding of the results that the contrast did not?  </strong> A) Whether a significant difference exists between the BS and the CS conditions. B) The post hoc test table does not contribute anything to our understanding as the contrast is more specific. C) The post hoc test explains the same concepts as the contrast but is more accurate. D) A homogeneity of variance result is provided.

A) Whether a significant difference exists between the BS and the CS conditions.
B) The post hoc test table does not contribute anything to our understanding as the contrast is more specific.
C) The post hoc test explains the same concepts as the contrast but is more accurate.
D) A homogeneity of variance result is provided.
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