Imagine you have a repeated-measures design with 25 participants and want to compare the means of the two conditions. For condition 1 (or sample 1), the mean = 10 and the standard deviation = 10; for condition 2 (or sample 2), the mean = 15 and the standard deviation = 10; for the difference scores, the mean = 5 and the standard deviation = 5. What is the value of Cohen's d? 0.20 0.50 1.00 5.00
Imagine you have a repeated-measures design with 25 participants and want to compare the means of...
Imagine you want to compare the mean of a sample (Xbar = 10, sample standard deviation = 20, N = 100) to a known population mean (mu = 13, population standard deviation unknown) using the single-sample t-test. What is the value of Cohen's d? 0.15 0.20 0.50 0.80
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:
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...
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
3. Repeated-measures and matched-subjects experiments Aa Aa Repeated-measures experiments measure the same set of research participants two or more times, while matched-subjects experiments study participants who are matched on one or more characteristics. Which of the following are true for both a repeated-measures experiment and a matched-subjects experiment when used to compare two treatment conditions? Check all that apply. The researcher computes difference scores to compute a t statistic. □ If the researcher has n number of participants to use...
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.
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...
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...
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...
differences can substantially enefit only occurs if the Pla We 6:00 reduce variance and lower the standard error. However, thi individual differences are consistent across treatment conditions. In problem 21, for example, the particlpants with the highest scores in the more-sleep condition also had the Mini Wec 6:00 sche apol inco highest scores in the less-sleep condition. Similarly, participants with the the first condition also had the lowest scores in the second condition. To construct the st scores in following...