In a repeated-measures study the sample mean and variance are computed using the difference scores for...
In a repeated-measures study the sample mean and variance are computed using the difference scores for each participant.
True or False
Homework Answers
False
Because in repeated measures study the sample mean and the variance are computed using only one score for each of the participants.
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In a repeated-measures study the sample mean and variance are
computed using the difference scores for...
For a research study comparing two treatment conditions, a repeated-measures design would require one score for...
For a research study comparing two treatment conditions, a repeated-measures design would require one score for each participant but an independent-measures design would require two scores for each participant. True or False
For a repeated-measures study comparing two treatments with a sample of n = 9 participants, the...
For a repeated-measures study comparing two treatments with a sample of n = 9 participants, the difference scores have a mean of Mo = 4.90 with SS = 18. What is the estimated standard error for the sample mean difference? 1 OOOO 0.5 0.08
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:
19. The data from an independent-measures research study produce a sample mean difference of 4 points...
19. The data from an independent-measures research study produce a sample mean difference of 4 points and a pooled variance of 16. If there are n 8 scores in each sample, then what is the estimated standard error for the sample mean difference? c. 16 d. 128 a. b. 4
A repeated-measures study comparing two treatments with a sample of n = 4 participants produces a Mp = 4 with SS =...
A repeated-measures study comparing two treatments with a sample of n = 4 participants produces a Mp = 4 with SS = 12 for the difference scores. What is the estimated standard error for the sample mean difference? 4 3 2.
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...
A repeated-measures study with a sample of n 16 participants produces a mean difference of Mp...
A repeated-measures study with a sample of n 16 participants produces a mean difference of Mp 4 with a standard deviation of s = 8, Use a two-tailed hypothesis test with a-.05 to determine whether it is likely that this sample came from a population with μο-0. Degrees of Freedom 21 5000 5000 0.0 0.000 3.0 -2.0 1.0 2.0 3.0 AN t-criticalt The results indicate: O Rejection of the null hypothesis; there is a significant mean difference O Failure to...
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...
Aa Aa 1. In a repeated-measures analysis of variance... In a repeated-measures analysis of variance, how...
Aa Aa 1. In a repeated-measures analysis of variance... In a repeated-measures analysis of variance, how does the magnitude of the mean differences from one treatment to another contribute to the F-rata? The mean differences add to the numerator of the F-ratio. The mean differences add to both the numerator and the denominator of the Fratio. The mean differences add to the denominator of the F-ratio. The mean differences are subtracted from the numerator of the F-ratio.
Which of the following possibilities is a serious concern with a repeated-measures study? You will obtain...
Which of the following possibilities is a serious concern with a repeated-measures study? You will obtain negative values for the difference scores. The results will be influenced by order effects. The mean difference is due to individual differences rather than treatment differences. All of the nther entions are maior concerns.
For a repeated-measures study comparing two treatments with a sample of n = 9 participants, the difference scores have a mean of Mo = 4.90 with SS = 18. What is the estimated standard error for the sample mean difference? 1 OOOO 0.5 0.08
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:
19. The data from an independent-measures research study produce a sample mean difference of 4 points and a pooled variance of 16. If there are n 8 scores in each sample, then what is the estimated standard error for the sample mean difference? c. 16 d. 128 a. b. 4
A repeated-measures study comparing two treatments with a sample of n = 4 participants produces a Mp = 4 with SS = 12 for the difference scores. What is the estimated standard error for the sample mean difference? 4 3 2.
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...
A repeated-measures study with a sample of n 16 participants produces a mean difference of Mp 4 with a standard deviation of s = 8, Use a two-tailed hypothesis test with a-.05 to determine whether it is likely that this sample came from a population with μο-0. Degrees of Freedom 21 5000 5000 0.0 0.000 3.0 -2.0 1.0 2.0 3.0 AN t-criticalt The results indicate: O Rejection of the null hypothesis; there is a significant mean difference O Failure to...
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...
Aa Aa 1. In a repeated-measures analysis of variance... In a repeated-measures analysis of variance, how does the magnitude of the mean differences from one treatment to another contribute to the F-rata? The mean differences add to the numerator of the F-ratio. The mean differences add to both the numerator and the denominator of the Fratio. The mean differences add to the denominator of the F-ratio. The mean differences are subtracted from the numerator of the F-ratio.
Which of the following possibilities is a serious concern with a repeated-measures study? You will obtain negative values for the difference scores. The results will be influenced by order effects. The mean difference is due to individual differences rather than treatment differences. All of the nther entions are maior concerns.
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