Experimental Design Assignment Help Service

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What is an Experimental Design?

Experimental design is the process by which users are given various conditions to perform the experiment. Experimental Design and Design of experiments are two very common terms that are used interchangeably and basically refers to the same meaning. However, the term experimental design is mostly used in medical science and social science whereas the term design of the experiment is used mainly in industrial related works or in computer science.

An Important Consideration in Experimental Design

There are various conditions that user need to know about Experimental design. They are:

Basically, it is seen that an experimental design allocates the subject to the experimental groups.
As per experimental design, it is always recommended to minimize all the confounding variables so that the output that will be produced will give different results.
In between the dependent and independent variables an interference can be made.
It is also recommended to reduce the variability so that the difference between the result can be found out.

Methods Used in Experimental Design

There are two common methods that are mainly used in the experimental design while allocating the subjects in the experimental groups. These two common methods are as follows:

Completely randomized design: In completely randomized design all the experimental units are randomly assigned and in this, the statistical design also has a fully randomized design.
Randomized block design: In randomized block design all the experimental units are randomly designed but within each block and the statistical design is designed randomly.

Common Types of Experimental Design

There is various type of experimental designs and some of the common ones are:

Independent measures: Independent measures is also known as ‘between the groups’. Independent measures, each condition of the experiment will have a different group of participants which is usually done by random allocation. In independent measures, more participants participate as it has only one condition.
Repeated measures: Repeated measures are also known as ‘within the groups’. In repeated measures, each condition of the experiment will have the same group of participants. As a result, in this measures participant variable is reduced.
Matched pairs: In matched pairs, different participants are used in each condition. In the matched pairs the participants are matched based on some important characteristics such as age, gender, intelligence, etc. It will reduce the variables of the participants as the participants will be paired up by the researcher so that they have the same type of abilities and characteristics.

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