Why is matched pairs better than independent groups?

The tailored participant-matching process reduces the risk of participant variables (individual differences) from affecting results between conditions. Different participants need to be recruited for each condition, which is difficult and expensive.

Is matched pairs the same as repeated measures?

2. Repeated measures /within-groups: The same participants take part in each condition of the independent variable. 3. Matched pairs: Each condition uses different participants, but they are matched in terms of important characteristics, e.g., gender, age, intelligence, etc.

Why would you choose to use an independent samples design or a paired samples repeated measures design?

The advantage of this is that individual differences between participants are removed as a potential confounding variable. Repeated measures also requires fewer participants, as data from all conditions is from the same group of participants.

Why may a matched pairs be better than two sample design?

Differences between the group means can no longer be explained by differences in age or gender of the participants. The primary advantage of the matched pairs design is to use experimental control to reduce one or more sources of error variability.

What is the primary advantage of a repeated measures design over an independent measures design?

One of the advantages of a repeated-measures design is that it removes the individual differences from the error variance and increases the likelihood of rejecting the null hypothesis.

What is an advantage of using independent groups design?

Advantages of independent measures design include less time/money involved than a within subjects design and increased external validity because more participants are used. A disadvantage is that individual differences in participants can sometimes lead to differences in the groups’ results.

What is the main difference between independent groups and within groups designs?

In a within groups design they are exposed to all levels, in an independent groups design they are only exposed to one level. Participants are exposed to all the levels of an independent variable at roughly the same time, and a single attitudinal or behavioral preference is the dependent variable.

What are matched pairs?

A matched pairs design is a type of experimental design wherein study participants are matched based on key variables, or shared characteristics, relevant to the topic of the study. Then, one member of each pair is placed into the control group while the other is placed in the experimental group.

What is an advantage of using a matched pair or dependent samples design over an independent samples design?

The major advantage of choosing a repeated-measures design (and therefore, running a dependent t-test) is that you get to eliminate the individual differences that occur between participants – the concept that no two people are the same – and this increases the power of the test.

How can a matched sample provide better results than an independent sample?

Purpose. The purpose of matched samples is to get better statistics by controlling for the effects of other “unwanted” variables. For example, if you are investigating the health effects of alcohol, you can control for age-related health effects by matching age-similar participants.

Why is a repeated-measures test more powerful than an independent samples test?

Repeated measure designs are also more powerful (sensitive) than independent sample designs because two scores from each person are compared so each person serves as his or her own control group (we analyze the difference between scores). A special type of repeated measures design is known as the matched pairs design.