Homework Answers
SOlUTION:
Repeated measures design weakness
there may be order effects.
This can be controlled with counterbalancing
Its a type of experimental design in which all possible orders of presenting the variables are included.
This way you can measure the effects in all possible situations.
The results will be influenced by order effects.
MARK OPTION B
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Which of the following possibilities is a serious concern with a repeated-measures study? You will obtain...
One concern for a repeated-measures study is that a participant’s score in one treatment may be...
One concern for a repeated-measures study is that a participant’s score in one treatment may be influenced by practice or experience gained in a previous treatment True or false?
Consider the following data from a repeated-measures design. You want to use a repeated-measures t test...
Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis H_0: mu_D = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before and after a treatment. Assume the population of the differences in these measurements are normally distributed. Complete the following table by calculating the differences and the...
19. A repeated-measures study comparing two treatments with a sample of n 10 participants produces a...
19. A repeated-measures study comparing two treatments with a sample of n 10 participants produces a mean of M 8 for the scores in the first treatment, a mean of M 10 for the scores in the second treatment, and a mean of MD 2 with Sum of squares of the difference SS 64 for the difference scores. What is the estimated standard error for the sample mean difference? Answer:
5. A step-by-step hypothesis test for a repeated-measures design Aa Aa E Consider the following data...
5. A step-by-step hypothesis test for a repeated-measures design Aa Aa E Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis Ho: Wp = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before and after a treatment. Assume the population of the differences in these measurements are...
contrasting a repeated measures research design with matched subjects and independent measures designs A graduate student...
contrasting a repeated measures research design with matched
subjects and independent measures designs
A graduate student is interested in whether journaling can affect grief and healing. She has participants who have been widowed within the past 10-14 months complete a battery of psychological questionnaires before and after journaling about their daily problems for 2 months. The first time the graduate student conducted this study, she used a repeated-measures design and compared the widows' and widowers' baseline scores with their scores...
using the repeated measures anova 1) The following data were collected from a repeated-measures study investigating...
using the repeated measures anova
1) The following data were collected from a repeated-measures study investigating the effects of 4 treatment conditions on test performance. Determine if there are any significant differences among the four treatments. State the null hypothesis. If you determine a significant treatment effect, use Tukey's HSD test (overall a = .05) to determine which treatments differ from which other treatments. Also, compute the percentage of variance explained by the treatment effect (12). Conclude with an appropriate...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either at test or an ANOVA. The two tests are related by the equation F=12. The following data are from a repeated-measures study: Person Difference Scores 3 I 4 2 3 7 M = 4.00 T = 16 SS = 14 Treatment II 7 11 6 10 M 8.50 T-34 SS = 17 3 3 Mo 4.50 SS = 27.00 Use a repeated-measures t...
5. A two-tailed hypothesis test for a repeated-measures design A graduate student is interested in whether...
5. A two-tailed hypothesis test for a repeated-measures design A graduate student is interested in whether jounaling can affect grief and healing. For her study, she selects a random sample of 64 adults who have been widowed within the past 10 to 14 months. The subjects complete a battery of psychological questionnaires before and after spending two months journaling about their emotions. Before the two months of journaling, the mean score on the impact of event scale-avoidance subscale, which measures...
answer all please In an analysis of variance, the MS between and MS within represent the...
answer all please
In an analysis of variance, the MS between and MS within represent the means of the squared variability between and within conditions. True • False QUESTION 14 If an analysis of variance produces SS between 30 and MS between 10, then the ANOVA is comparing three treatment conditions. True False QUESTION 15 Compared to an independent measures design a repeated measures study is more likely to find a statistically significant effect because it reduces the contribution of...
8. A two-tailed hypothesis test for a repeated-measures design Аа Аa A graduate student is interested...
8. A two-tailed hypothesis test for a repeated-measures design Аа Аa A graduate student is interested in whether journaling can affect grief and healing. For his study, he selects a random sample of 64 adults who have been widowed within the past 10 to 14 months. The subjects complete a battery of psychological questionnaires before and after spending two months journaling about their emotions. Before the two months of journaling, the mean score on the impact of event scale-avoidance subscale,...
Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis H_0: mu_D = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before and after a treatment. Assume the population of the differences in these measurements are normally distributed. Complete the following table by calculating the differences and the...
19. A repeated-measures study comparing two treatments with a sample of n 10 participants produces a mean of M 8 for the scores in the first treatment, a mean of M 10 for the scores in the second treatment, and a mean of MD 2 with Sum of squares of the difference SS 64 for the difference scores. What is the estimated standard error for the sample mean difference? Answer:
5. A step-by-step hypothesis test for a repeated-measures design Aa Aa E Consider the following data from a repeated-measures design. You want to use a repeated-measures t test to test the null hypothesis Ho: Wp = 0 (the null hypothesis states that the mean difference for the general population is zero). The data consist of five observations, each with two measurements, A and B, taken before and after a treatment. Assume the population of the differences in these measurements are...
contrasting a repeated measures research design with matched
subjects and independent measures designs
A graduate student is interested in whether journaling can affect grief and healing. She has participants who have been widowed within the past 10-14 months complete a battery of psychological questionnaires before and after journaling about their daily problems for 2 months. The first time the graduate student conducted this study, she used a repeated-measures design and compared the widows' and widowers' baseline scores with their scores...
using the repeated measures anova
1) The following data were collected from a repeated-measures study investigating the effects of 4 treatment conditions on test performance. Determine if there are any significant differences among the four treatments. State the null hypothesis. If you determine a significant treatment effect, use Tukey's HSD test (overall a = .05) to determine which treatments differ from which other treatments. Also, compute the percentage of variance explained by the treatment effect (12). Conclude with an appropriate...
For either independent-measures or repeated-measures designs comparing two treatments, the mean difference can be evaluated with either at test or an ANOVA. The two tests are related by the equation F=12. The following data are from a repeated-measures study: Person Difference Scores 3 I 4 2 3 7 M = 4.00 T = 16 SS = 14 Treatment II 7 11 6 10 M 8.50 T-34 SS = 17 3 3 Mo 4.50 SS = 27.00 Use a repeated-measures t...
5. A two-tailed hypothesis test for a repeated-measures design A graduate student is interested in whether jounaling can affect grief and healing. For her study, she selects a random sample of 64 adults who have been widowed within the past 10 to 14 months. The subjects complete a battery of psychological questionnaires before and after spending two months journaling about their emotions. Before the two months of journaling, the mean score on the impact of event scale-avoidance subscale, which measures...
answer all please
In an analysis of variance, the MS between and MS within represent the means of the squared variability between and within conditions. True • False QUESTION 14 If an analysis of variance produces SS between 30 and MS between 10, then the ANOVA is comparing three treatment conditions. True False QUESTION 15 Compared to an independent measures design a repeated measures study is more likely to find a statistically significant effect because it reduces the contribution of...
8. A two-tailed hypothesis test for a repeated-measures design Аа Аa A graduate student is interested in whether journaling can affect grief and healing. For his study, he selects a random sample of 64 adults who have been widowed within the past 10 to 14 months. The subjects complete a battery of psychological questionnaires before and after spending two months journaling about their emotions. Before the two months of journaling, the mean score on the impact of event scale-avoidance subscale,...
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