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Between-Subjects Experiments

Proper selection of the particular design related to the specific feature of the experiment is crucial to attaining the effective form of outcomes. Two between-subjects experiments are the one crucial design feature when it comes to experimental research in the field of psychology. The prospect of the between-subjects experiment is classified as the design of the experiment, which has multiple groups comprised of subjects (Charness, Gneezy, & Kuhn, 2012). It is notable to mention that all the different subjects are tested by considering the different testing factors to make necessary inferences about the subject of the research. This particular form of the experiment, also known as the independent measure, is used by the researcher with less involvement of the factors that do not have a major role in the study.

A between-subject design divides the participants of the experiments into two groups named treatment and control groups. Each participant can be a member of only one group, either the control or treatment group. Controlled experimentation is the one major form of the between-subjects design of the experiment. The existence of two groups is the necessary paradigm in the case of an aspect of experimental and control group. The experimental aspect of the group is characterized as the group in which individuals or participants go through the features of some kind of experiment. On the other hand, the control group is specified as the group of participants who are not exposed to any aspect of research work. The crucial feature related to the aspect of the control group is that all the external factors are contained as the constant feature, which does not have any impact on the factors or the overall situation of the environment.

The aspect of between-subjects can also be determined with the consideration of factorial design, which tested with three independent variables that have three and two levels, respectively. The factorial design is different is somewhat different as it is not based on only two independent variables. It can be examined with the inclusion of as many variables as the researcher wants to include in the research study. More than one level is another consideration of the factorial design of research. Different levels of factorial design are characterized as the subdivision of the factors that appear in the form of independent variables in the experiment.

Advantages of Between-Subjects Design

Between-subjects design is the one experimental design that is extensively used in the field of psychology. It comes with many considerations which help researchers to make necessary inferences about the different psychological features. The facet of the between-subjects experimental design can be characterized as an effective form of experiment due to the number of advantages it offers. It has come up with a feasible approach to make inferences about the research aim or the objective set by the researcher (Rivas & Sutter, 2011). The major advantage that can be identified in the case of between-subject design is that it provides the necessary and effective approach for the researcher to conduct the experiment, which comes up with very little involvement of the external factors. The less influence of the external feature, the more valid and unbiased the results of the experiment.

The specific experimental design of between-subjects design makes it possible for the researcher to assess different variables or factors at multiple levels simultaneously. The experimentation of multiple factors makes it possible for the researcher to test a large number of aspects or subjects at the same time. Another advantage that can be identified in the case of between-subject design is that it has the potential to control all the extraneous variables. It is also characterized by time and cost efficiency. It is an easy way to make the assessment of different levels of the independent variables that come with the specific conditions.

References

Charness, G., Gneezy, U., & Kuhn, M. A. (2012). Experimental methods: Between-subject and within-subject design. Journal of Economic Behavior & Organization, 81(1), 1–8.

Rivas, M. F., & Sutter, M. (2011). The benefits of voluntary leadership in experimental public goods games. Economics Letters, 112(2), 176–178.

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