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Which of the following are advantages of repeated-measures design

a) More participants required

b) Fewer participants required, i.e., smaller sample size, because participants are measured in all conditions.

c) Appropriate for research questions that want to know about differences (change) over time

d) Appropriate for research questions that want to know about differences at a single point in time

e) Eliminates individual variability due to individual differences in participants (both between and within groups)

a) More participants required

b) Fewer participants required, i.e., smaller sample size, because participants are measured in all conditions.

c) Appropriate for research questions that want to know about differences (change) over time

d) Appropriate for research questions that want to know about differences at a single point in time

e) Eliminates individual variability due to individual differences in participants (both between and within groups)

Why are there no individual differences in a Repeated-Measures ANOVA?

a) to improve accuracy

b) participants are the same people tested multiple times This means that any differences between treatments (experimental groups) cannot be due to individual differences between different members of the group because they are the same

a) to improve accuracy

b) participants are the same people tested multiple times This means that any differences between treatments (experimental groups) cannot be due to individual differences between different members of the group because they are the same

What are the assumptions for repeated measures ANOVA

a) The observations within each group (each set of scores) must be independent

b) The observations within each group must be dependent

c) The populations from which the samples are selected must be unevenly distributed

d) The populations from which the samples are selected must be normally distributed

e) Sphericity: The variance of the population difference scores for any two groups are different from the variance of the population difference scores for any other two groups

f) Sphericity: The variance of the population difference scores for any two groups are the same as he variance of the population difference scores for any other two groups

a) The observations within each group (each set of scores) must be independent

b) The observations within each group must be dependent

c) The populations from which the samples are selected must be unevenly distributed

d) The populations from which the samples are selected must be normally distributed

e) Sphericity: The variance of the population difference scores for any two groups are different from the variance of the population difference scores for any other two groups

f) Sphericity: The variance of the population difference scores for any two groups are the same as he variance of the population difference scores for any other two groups

a) The observations within each group (each set of scores) must be independent

d) The populations from which the samples are selected must be normally distributed

f) Sphericity: The variance of the population difference scores for any two groups are the same as he variance of the population difference scores for any other two groups

d) The populations from which the samples are selected must be normally distributed

f) Sphericity: The variance of the population difference scores for any two groups are the same as he variance of the population difference scores for any other two groups

What is the difference between a one-way independent ANOVA and a One-Way repeated measures ANOVA

a) A one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of 2 or more independent groups whereas a repeated measures one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which the same subjects show up in each group.

b) A one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which the same subjects show up in each group whereas a repeated measures one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups

a) A one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of 2 or more independent groups whereas a repeated measures one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which the same subjects show up in each group.

b) A one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which the same subjects show up in each group whereas a repeated measures one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups

a) A one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more independent groups whereas a repeated measures one-way ANOVA is used to determine whether or not there is a statistically significant difference between the means of three or more groups in which the same subjects show up in each group.

What is the difference between planned contrasts and post hoc tests

a) Planned contrasts are a set of comparisons between group means that are done before data is collected. These are theory-led comparisons and are based on the idea of partitioning the variance created by the overall effect of group differences into gradually smaller portions of variance. Post-hoc tests are a set of comparisons between group means that were not thought of before data were collected. Typically these tests involve comparing the means of all combinations of pairs of groups.

b) Planned comparisons are a set of comparisons between group means that were not thought of before data were collected. Typically these tests involve comparing the means of all combinations of pairs of groups whereas Post-hoc tests are a set of comparisons between group means that are done before data is collected. These are theory-led comparisons and are based on the idea of partitioning the variance created by the overall effect of group differences into gradually smaller portions of variance.

a) Planned contrasts are a set of comparisons between group means that are done before data is collected. These are theory-led comparisons and are based on the idea of partitioning the variance created by the overall effect of group differences into gradually smaller portions of variance. Post-hoc tests are a set of comparisons between group means that were not thought of before data were collected. Typically these tests involve comparing the means of all combinations of pairs of groups.

b) Planned comparisons are a set of comparisons between group means that were not thought of before data were collected. Typically these tests involve comparing the means of all combinations of pairs of groups whereas Post-hoc tests are a set of comparisons between group means that are done before data is collected. These are theory-led comparisons and are based on the idea of partitioning the variance created by the overall effect of group differences into gradually smaller portions of variance.

a) Planned contrasts are a set of comparisons between group means that are done before data is collected. These are theory-led comparisons and are based on the idea of partitioning the variance created by the overall effect of group differences into gradually smaller portions of variance. Post-hoc tests are a set of comparisons between group means that were not thought of before data were collected. Typically these tests involve comparing the means of all combinations of pairs of groups.

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