Come up with a research example f when it would be appropriate to use a repeated
ID: 3180935 • Letter: C
Question
Come up with a research example f when it would be appropriate to use a repeated-measures design. Describe the study.
Come up with a research example of when it would be appropriate to use a matched-pairs design. Describe the study.
Come up with a research example of when it would be appropriate to use a pretest/posttest design. Describe the study.
Imagine that you needed 10 pairs of scores in your matched-pairs study. How many different individuals would you need? Imagine that you needed 10 pairs of scores in your repeated-measures study. How many different individuals would you need? What is one of the benefits of choosing a related-samples design?
Explanation / Answer
The repeated measures design is a stalwart of scientific research, and offers a less unwieldy way of comparing the effects of treatments upon participants.Repeated measures design uses the same subjects with every branch of research, including the control.For instance, repeated measurements are collected in a longitudinal study in which change over time is assessed. Other (non-repeated measures) studies compare the same measure under two or more different conditions. For instance, to test the effects of caffeine on cognitive function, a subject's math ability might be tested once after they consume caffeine and another time when they consume a placebo.
if we Imaging that we needed 10 pairs of scores in your repeated-measures study. then we needed 10 different individuals for that.
For example, experiments in which each condition takes only a few minutes, whereas the training to complete the tasks take as much, if not more time.
A matched pairs design is a special case of a randomized block design. It can be used when the experiment has only two treatment conditions; and subjects can be grouped into pairs, based on some blocking variable. Then, within each pair, subjects are randomly assigned to different treatments.
The figure belows shows a matched pairs design for a hypothetical medical experiment, in which 1000 subjects each receive one of two treatments - a placebo or a cold vaccine. The 1000 subjects are grouped into 500 matched pairs. Each pair is matched on gender and age. For example, Pair 1 might be two women, both age 21. Pair 2 might be two men, both age 21. Pair 3 might be two women, both age 22; and so on.
If we Imaging that we needed 10 pairs of scores in your matched-pairs study. then we needed 20 different individuals for that.
For many true experimental designs, pretest-posttest designs are the preferred method to compare participant groups and measure the degree of change occurring as a result of treatments or interventions.Pretest-posttest designs grew from the simpler posttest only designs, and address some of the issues arising with assignment bias and the allocation of participants to groups.One example is education, where researchers want to monitor the effect of a new teaching method upon groups of children. Other areas include evaluating the effects of counseling, testing medical treatments, and measuring psychological constructs.
the benefits of choosing a related-samples design are as follows:
a) Simple to use
b) Represents the population
c) Clear conclusions