Participants enter a research study with unique characteristics that produce different scores from one person to another. For an independent-measures study, these individual differences can cause problems. How can these problems be eliminated or reduced with a repeated-measures study? Check all that apply. In a repeated-measures study, individual differences do not add to the variance of the scores because the same participants are used in all treatment conditions. In a repeated-measures study, you eliminate extraneous changes to the individuals in the sample over time. In a repeated-measures study, both samples consist of the same individuals, eliminating systematic differences between the two samples, which bias the results. In a repeated-measures study, you eliminate the need for the population distribution of difference scores to be normal.

In a repeated-measures study, individual differences do not add to the variance of the scores because the same participants are used in all treatment conditions.

• In a repeated-measures study, you eliminate the need for the population distribution of difference scores to be normal.

In a repeated-measures study, you eliminate the need for the population distribution of difference scores to be normal.

Step-by-step explanation:

An independent measures design, is an experimental design whereby the condition of the experiment is such that there are different group of participants. Based on the information given, the problems can be eliminated or reduced with a repeated-measures study through:

• In a repeated-measures study, individual differences do not add to the variance of the scores because the same participants are used in all treatment conditions

• In a repeated-measures study, you eliminate the need for the population distribution of difference scores to be normal.

Therefore, the correct options are A and D.

da freeck kinda math is this just drop out

step-by-step explanation: