## What Is An Independent Measures Design6 min read

Reading Time: 4 minutesAn independent measures design (sometimes called a between-subjects design) is a research design where each participant is randomly assigned to a different condition. This type of design is used to determine whether there is a difference in the outcomes of the conditions.

Table of Contents

- 1 What are independent sample designs?
- 2 What is independent group design?
- 3 What is the difference between a repeated measures design and independent measures design?
- 4 What is dependent measures design?
- 5 Why is independent measures design used?
- 6 What is the difference between an independent measures t-test and a repeated measures t-test?
- 7 What are the 4 types of research design?

## What are independent sample designs?

Independent sample designs are used in statistics to compare two or more groups. In order to use an independent sample design, the groups must be randomly selected and must be independent of each other. This means that the groups cannot be related in any way.

There are two types of independent sample designs: independent samples t-test and independent samples ANOVA.

The independent samples t-test is used to compare the means of two groups. The independent samples ANOVA is used to compare the means of more than two groups.

Both the independent samples t-test and the independent samples ANOVA are used to determine if the means of the groups are statistically different from each other.

## What is independent group design?

Independent group design is a research design that is used to compare the effects of two or more interventions. It is often used in medical research to compare the effects of a new drug to a placebo or an older drug. Independent group design is also used to compare the effects of different treatments or dosages.

Independent group design is a type of between-subjects design. In this type of design, each participant is randomly assigned to a group. The groups are then compared on the basis of the outcome measure.

Independent group design is a relatively simple design that is easy to administer and analyze. It is also relatively powerful, which means that it can detect small differences between groups.

There are several types of independent group design. The most common type is the parallel group design. In this type of design, each group receives the same intervention. Another type of independent group design is the crossover design. In this type of design, each group receives two interventions, with a period of no treatment in between.

## What is the difference between a repeated measures design and independent measures design?

There are several key differences between a repeated measures design and an independent measures design.

The most fundamental difference is that in a repeated measures design, the participants are tested more than once, while in an independent measures design, they are only tested once.

Another key difference is that in a repeated measures design, the same participants are tested each time, while in an independent measures design, different participants are tested each time.

Finally, in a repeated measures design, the same test is administered each time, while in an independent measures design, different tests may be administered.

## What is dependent measures design?

Dependent measures design is a research design in which the researcher measures the effect of an experimental manipulation by assessing the change in a dependent variable. The dependent variable is the variable that is being measured to determine the effect of the experimental manipulation. In order to establish a causal relationship between the experimental manipulation and the change in the dependent variable, the researcher must control for all other potential causes of the change. This is accomplished by randomly assigning participants to experimental and control groups and by controlling for the participants’ pre-test scores.

## Why is independent measures design used?

Independent measures design is used when the researcher wants to compare the effects of two or more independent variables on a dependent variable. It is a more powerful design than the repeated measures design, because it removes the possibility that the results are due to differences in the participants’ responses to the different conditions. To ensure that the results are due to the independent variables, the researcher must ensure that the participants do not know which condition they are in, and that the order of the conditions is randomized.

## What is the difference between an independent measures t-test and a repeated measures t-test?

When researchers want to compare the means of two groups, they might use an independent measures t-test. This test is used when the groups are independent of each other. That is, the members of one group are not different from the members of the other group.

A repeated measures t-test is used when the groups are not independent of each other. This test is used when the members of one group are different from the members of the other group.

## What are the 4 types of research design?

When it comes to conducting research, there are a variety of different design types to choose from. The four most common research designs are descriptive, correlational, experimental, and quasi-experimental.

Descriptive research is used to describe what is happening in a particular situation. It provides a snapshot of the current situation and does not attempt to explain why things are the way they are. Descriptive research can be quantitative or qualitative.

Quantitative descriptive research uses numerical data to describe a situation. It is often used in social science research to measure things like demographics, attitudes, and behaviors.

Qualitative descriptive research uses non-numerical data to describe a situation. This type of research is often used in the humanities and social sciences to capture the nuances of people’s experiences and perspectives.

Correlational research is used to identify relationships between two or more variables. It does not determine whether one variable causes another, only that they are related. Correlational research can be quantitative or qualitative.

Quantitative correlational research uses numerical data to identify relationships between variables. It is often used in the sciences to measure the strength of a relationship and to explore possible causes and effects.

Qualitative correlational research uses non-numerical data to identify relationships between variables. This type of research is often used in the social sciences to explore the meanings that people attach to their experiences.

Experimental research is used to determine whether a particular variable causes a change in another variable. It is the most rigorous type of research design and is often used in the sciences. Experimental research can be quantitative or qualitative.

Quantitative experimental research uses numerical data to determine the cause and effect of variables. It is often used in the biological and physical sciences to test hypotheses.

Qualitative experimental research uses non-numerical data to determine the cause and effect of variables. This type of research is often used in the social sciences to explore people’s perceptions and experiences.

Quasi-experimental research is used to determine whether a particular variable causes a change in another variable, but does not use a control group. It is less rigorous than experimental research, but more rigorous than descriptive research. Quasi-experimental research can be quantitative or qualitative.

Quantitative quasi-experimental research uses numerical data to determine the cause and effect of variables. It is often used in the social sciences to compare two groups that are not identical.

Qualitative quasi-experimental research uses non-numerical data to determine the cause and effect of variables. This type of research is often used in the social sciences to compare two groups that are not identical.