in thinking of this study as an experiment, what served as the control group? course hero

What is a control group in an experiment?

In an experiment, the control group is the group that remains independent of the experiment for the purposes of comparison. If the experiment is testing a …

How many groups are there in an experiment?

A control group in an experiment does not receive the treatment. Instead, it serves as a comparison group for the treatments. Researchers compare the results of a treatment group to the control group to determine the effect size, also known as the treatment effect. A control group is important because it is a benchmark that allows scientists to draw conclusions about the …

What is a case-control study?

Apr 06, 2016 · During an experiment, control refers a group or in some cases set of objects statistically similar to the set tested, on which changes are not implemented. With control group, it is easy to compare the results so as to extrapolate whether the treatment generated the desirable outcome or not. Ideally, control group do not receive treatment.

What are the characteristics of an ideal experiment?

Jun 30, 2017 · What will the control group in this experiment do? A. help the experimenter write the tests B. take all the same tests without using the study guide C. use the study guide without taking any tests D. help the experimenter decide which students will get the study guide ANS: B REF: experiments OBJ: application and understanding

Using Control Groups in Experiments

Most experiments include a control group and at least one treatment group. In an ideal experiment, the subjects in all groups start with the same overall characteristics except that those in the treatment groups receive a treatment.

Example of a Control Group

Suppose we want to determine whether regular vitamin consumption affects the risk of dying. Our experiment has the following two experimental groups:

Types of Control Groups

Researchers can use different types of control groups in their experiments. Earlier, you learned about the random versus non-random kinds, but there are other variations. You can use various types depending on your research goals, constraints, and ethical issues, among other things.