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?

possible options:

A. The researcher computes difference scores to compute a statistic.

B. 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. C. The researcher must compute an estimated standard error for the mean difference score to compute a t statistic.

D. Participants in both types of experiments are all measured the same number of times

Answer is B. 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.

Step-by-step explanation:

The same participants take part in each condition of the independent variable. This means that each condition of the experiment includes the same group of participants. Pro: As the same participants are used in each condition, participant variables (i.e., individual differences) are reduced.

The repeated measures design is less likely to reject the null hypothesis.

RMD typically has a smaller standard error & is more likely to detect a real treatment effect.

i will take them

step-by-step explanation:

first one because it can't have a fraction in it

step-by-step explanation: