Repeated measures experiments measure the same set of research participants two
ID: 3229230 • Letter: R
Question
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. If the researcher has n number of participants to use in the experiment, then the degrees of freedom will be the same in a repeated-measures experiment or in a matched-subjects experiment. The researcher must compute a pooled variance to compute a t statistic. The researcher must compute an estimated standard error for the mean difference score to compute a t statistic. Participants in both types of experiments are all measured the same number of times. A matched-subjects experiment produced at statistic with a df of 13. How many subjects participated in this study? 13 28 26 14 For a repeated-measures experiment comparing two treatment conditions, the t statistic has a df of 17. How many subjects participated in this study? 18 17 36 34Explanation / Answer
Solution:-
1) The researcher must compute an etimated standard error for the mean difference score to compute a t statistics.
2) The subject participted in the study is 28.
In Matched pair degree of freedom = n - 1
where n = number of pairs
n - 1 = 13
n = 14
There are 14 pairs that means 28 subjects.
3) The subject paticipated in the study = 18
In repeated measure test, degree of freedom = n - 1
where n = number of subjects
n - 1 = 17
n = 18