A repeated-measures test usually is more likely to detect a real treatment effect than an independent-measures test because the repeated-measures design typically has a smaller variance and a smaller estimated standard error. True or False?
A repeated-measures test usually is more likely to detect a real treatment effect than an independent-measures...
A problem with repeated measures designs is a. they require more participants than independent samples designs b. all of the answers are correct c. they may have "order" effects d. the repeated measures design inflates error c.
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...
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...
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
True or False 4. The formula used in repeated-measures t statistic Is used with a matched-subjects design even though the design uses two separate samples. .One advantage of a repeated-measures design is that it typically requires owa nts than an independent-measures design. When computing difference scores' (D values) the sign of the difference(+or-'s not nt. You need to record only the size of the difference. Power is 14. To get a big effect size, you should increase N. Power analysis...
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...
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...
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,...
Standard error for the independent measures t test relies on pooled variance taken by adding the sum of squares from the two sample groups together True False
12. What is the average value expected for the independent-measures t statistic if the null hypothesis is true? a. O b. 1 C. 41 d. Mi-M2 13. For an ANOVA comparing three treatment conditions, what is stated by the alternative hypothesis (HA)? a. There are no differences between any of the population means b. At least one of the three populations means is different from another mean C. All three of the population means are different from each other d....