COMPARE INDEPENDENT VARIABLES, DEPENDENT VARIABLES, AND EXTRANEOUS VARIABLES NRS 433

Topic 4 DQ 1

Compare independent variables, dependent variables, and extraneous variables. Describe two ways that researchers attempt to control extraneous variables. Support your answer with peer-reviewed articles.

Replies

The independent variable is the experimental or predictor variable, example is a person age, you cannot change someone age but what can be change is their lifestyle such as diets, career, or where they live. The independent variable is often manipulated in the research to observe the effect on the dependent variable. The dependent variable is considered the outcome variable. It brings on various standards in response to the independent variable. The extraneous variable is thought to be a variable that can impact the relationship between the independent and dependent variables which can be controlled either through research design or statistical procedures that were not anticipated or recognized at the beginning of the study (GCU,2018).

Experimental design is one-way to control extraneous variables this is done by designing an experiment in which individuals are randomly assigned to treatment groups and such that researchers are also blind to which persons belong to which group, this should diminish the problem of experimental favoritism (Zach, 2021).

Having an unchanging environment is another way to control extraneous variables. Every single person should be able to participate in an experiment in the specific same environment, examples such as the same lighting conditions, same noise levels, same temperature, and same number of potential distractions. This should minimize the effect of situational variables and stress attributes (Zach, 2021).

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References

Grand Canyon University (Ed). (2018). Nursing research: Understanding methods for best practice. Retrieved from https://lc.gcumedia.com/nrs433v/nursing-research-understanding-methods-for-best-practice/v1.1

Zach. (2021, February 19). Extraneous variable: Definition & examples. Statology. Retrieved August 18, 2022, from https://www.statology.org/extraneous-variable/

Manyara Chinyoka

replied toKrishna Turner

Aug 18, 2022, 8:41 PM

·  Replies to Krishna Turner

If you do not control the extraneous variables,they may influence the outcome s of the study, and you may not be able to demonstrate that your results are really an effect of your independent variable. Level of obedience can be influenced by the external circumstances rather than the personalities of the people involved tis is situational variables.Your example is of controlling the environment where the research takes place and keeping it consistent are correct

·  Dilshoda Osorio

replied toKrishna Turner

Aug 19, 2022, 8:24 AM

·  Replies to Krishna Turner

Krishna, thank you for your post. Would like add some more info with the examples.

The independent variable is the controllable variable used to test how the dependent variable is affected in scientific research. The dependent variable is the variable under test that depends on the independent variable, and any changes in the latter affect it. In research, the dependent variables’ outcomes are recorded when the independent variable is adjusted to different levels (Flannely, 2014).

Extraneous variables are the variables in scientific research that are not intentionally studied. The goal of scientific research is to test the effects of the independent variable on the dependent variable. However, these variables affect or interfere with the outcomes of the experiment and are usually not anticipated (Flannely, 2014).

For example: The researcher were studying the effect of gender on response times, with the theory that females would be slower than males. There were 30 participants in a public computer room throughout the day. The dependent variable is the response time, the independent variable is the gender of the participants and extraneous variables could be the time of day or how noisy the computer room is.

Flannelly, L. T., Flannelly, K. J., & Jankowski, K. R. B. (2014). Independent, Dependent, and Other Variables in Healthcare and Chaplaincy Research. Journal of Health Care Chaplaincy, 20(4), 161–170. https://doi-org.lopes.idm.oclc.org/10.1080/08854726.2014.959374