# What is the difference between independent samples and repeated measures?

## What is the difference between independent samples and repeated measures?

1. Independent measures / between-groups: Different participants are used in each condition of the independent variable. Repeated measures /within-groups: The same participants take part in each condition of the independent variable.

What is the difference between a repeated measures ANOVA and an independent sample ANOVA?

A repeated measures ANOVA is almost the same as one-way ANOVA, with one main difference: you test related groups, not independent ones. It’s called Repeated Measures because the same group of participants is being measured over and over again.

### When would you use repeated measures analysis?

Repeated measures ANOVA is used when you have the same measure that participants were rated on at more than two time points. With only two time points a paired t-test will be sufficient, but for more times a repeated measures ANOVA is required.

Why is independent groups better than repeated-measures?

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 is independent measures used?

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.

Is one-way ANOVA same as repeated measures?

Repeated measures ANOVA is the equivalent of the one-way ANOVA, but for related, not independent groups, and is the extension of the dependent t-test. A repeated measures ANOVA is also referred to as a within-subjects ANOVA or ANOVA for correlated samples.

## What is the advantage of a repeated measures research study?

 The main advantage of a repeated-measures study is that it uses exactly the same individuals in all treatment conditions. That, there is no risk that the participants in one condition are substantially different from the participants from another.

What are the advantages of using a repeated measures design?

More statistical power: Repeated measures designs can be very powerful because they control for factors that cause variability between subjects. Fewer subjects: Thanks to the greater statistical power, a repeated measures design can use fewer subjects to detect a desired effect size.

### Why is independent groups better than repeated measures?

What is the dependent variable in a repeated measures analysis?

The quantitative variable is called the dependent variable. In repeated-measures analysis (also called a within-subjects analysis); scores for the same individual are dependent, whereas the scores for different individuals are independent.

#### What is the difference between an independent groups test and repeated measures?

In an independent groups test, the subjects in the 2 groups or conditions (t test) or 3 groups, 4 groups, 5 groups (or 3 conditions, 4 conditions.) are different people . In a repeated measures case, the same subjects are being tested under different conditions.

What is a repeated measure in research?

Repeated measures analysis deals with response outcomes measured on the same experimental unit at different times or under different conditions. Longitudinal data is a common form of repeated measures in which measurements are recorded on individual subjects over a period of time.[2,3,4,5]

## What is an example of a simple repeated measures design?

ANOVA: SIMPLE REPEATED MEASURESdesigns involve measuring an individual two or more times on the dependent variable. For example, a researcher may test the same sample of individuals under different conditions or at different times.