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....


Repeated-measures experiments measure the same set of research participants two or more times, while matched-subjects experiments study<br>participants who are matched on one or more characteristics.<br>Which of the following are true for both a repeated-measures experiment and a matched-subjects experiment when used to compare two treatment<br>conditions?<br>The researcher must compute an estimated standard error for the mean difference score to compute a t statistic.<br>O 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<br>matched-subjects experiment.<br>The researcher must compute a pooled variance to compute at statistic.<br>O Participants in both types of experiments are all measured the same number of times.<br>

Extracted text: 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? The researcher must compute an estimated standard error for the mean difference score to compute a t statistic. O 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 at statistic. O Participants in both types of experiments are all measured the same number of times.

Jun 10, 2022
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