An independent variable

Research Variables

            An independent variable in research is a variable that gets used in the study that gets controlled and changed by the experimenter and gets assumed to affect the dependent variable. The most common examples of a variable that are independent include the level of education and gender. A dependent variable is one in which the variable that is getting measured and tested in the particular experiment is dependent on the variable that is independent (Losh, 2017). For instance, the possibility of getting a high paying job is dependent upon the level of education that one has attained. Some examples of variables that are dependent include the symptoms of illness. For instance, the sign of depression is a variable that is dependent as it depends on the variable that is independent, which is the type of therapy. Variables that are extraneous are all the variables that can affect the outcome of the experiment but are not variables that are independent. Extraneous variables are those variables that cannot get controlled, and a researcher suspects that they have an impact on memory. Examples of extraneous variables include individual characteristics, the noise from the environment, and the current status of health, among others.

Researchers can make attempts to control the variables that are extraneous by making an identification of the variables that are likely to impact the variable that is independent. Another way through which researchers can try to control the variable that is undesirable or extraneous is by random sampling, which will ensure that the variable is equal in all the groups in the study (Rvachew & Matthews, 2017). Randomization can get used in the random assignment of treatment in a very large group of participants in which the assignment gets done randomly among participant groups that are varying. Randomization makes a presumption that the presence of the factor that is extraneous is constant across all the participant groups.

References

Losh, S. C. (2017). Dependent and Independent Variables. The Wiley‐Blackwell Encyclopedia of Social Theory, 1-3. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/9781118430873.est0622

Rvachew, S., & Matthews, T. (2017). Demonstrating treatment efficacy using the single subject randomization design: A tutorial and demonstration. Journal of communication disorders, 67, 1-13. Retrieved from https://www.sciencedirect.com/science/article/pii/S0021992416300880

 

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