# What are the differences between an independent groups design and a repeated measures design?

**difference between independent measures design**and

**repeated measures design**? An

**independent measures design**consists of using different

**participants**for each condition of the experiment. A

**repeated measures design**consists of testing the same individuals on two or more conditions.

Also question is, what is an independent measures design?

**Independent Measures Design**. An **independent measures design** is a research method in which multiple experimental **groups** are used and participants are only in one group. Each participant is only in one condition of the **independent** variable during the experiment.

Additionally, what is the primary advantage of a repeated measures design over an independent measures design? One of the **primary advantages of a repeated measures design**, compared to **independent measures**, is that it reduces the overall variability by removing variance caused by individual differences. The following data are from a research study comparing three treatment conditions.

Also, what is the main difference between a between groups research design and a within groups research design?

There are two ways to look at the data about these **groups**. **Between**-**group differences** show how two or more **groups** are **different**, whereas **within**-**group differences** show **differences among** subjects who are **in the** same **group**. **Within**-**group differences** can come to light when looking at a **between**-**group research study**.

Why is a repeated measures design considered a within subjects design?

That is, this makes **within**-**subjects designs** more able to detect an effect of the independent variable than are **between**-**subjects designs**. **Within**-**subjects designs** are often **called** "**repeated**-**measures**" **designs** since **repeated measurements** are taken for each **subject**.