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 comprises on 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 experiment also known as the independent measure which is used by the researcher by the less involvement of the factors which does not have a major role in the study.
A between-subject design divide the participants of the experiments in the two groups named as treatment and control group. Each participant can be the member of the only one group either 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 case of an aspect of experimental and control group. The group of experimental aspect is characterized as the group in which individuals or participants going through with the feature 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 over 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 researcher want 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 which appears in the form of independent variables in the experiment.
Advantages of Between-Subjects Design
Between-subjects design is the one experimental design which 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 between-subjects experimental design can be characterized as an effective form of the experiment due to the number of its advantages. It has come up with the feasible approach to make inferences about the research aim or the objective set by the researcher (Rivas & Sutter, 2011). The major advantage which can be identified in case of between-subject design is that it provides the necessary and effective approach to the researcher to conduct the experiment which comes up with the very less involvement of the external factors. Less influence of the external feature make the results of the experiment more valid and unbiased.
The specific experimental design of between-subjects design makes it possible for the researcher to assess different variables or factors at the 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 which can be identified in case of between-subject design is that it has the potential to control all the extraneous variables. It is also characterized by the time and cost effective. It is the easy way to make the assessment of different levels of the independent variables which come with the specific conditions.
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.