A vital part of any form of research is variables. Variables form a crucial cornerstone of any study, whether qualitative or quantitative. Variables refer to any characteristics of research forms that can take up any value. Examples of variables include temperature, height, and age. There are different types of variables. During a study, researchers are more often than not required to manipulate and measure variables to test cause and effect relationships. The different types of variables are independent variables, dependent variables, and extraneous variables.
Independent variables refer to the cause. Independent variables are essentially free or not dependent or somewhat not contingent on other variables within the study (National Library of Medicine, 2022). Independent variables are not influenced by other variables within the study context. They entail the variables in an experiment manipulated or varied to determine effects. Unlike independent variables, dependent variables primarily entail effect (Andrade, 2021). Dependent variables and their values are influenced by the independent variables. Their values are contingent on the values of independent variables, thus their name. Finally, there are extraneous variables. Extraneous variables are entirely different from dependent and independent variables. They consist of variables not under investigation or review during the experiment but can potentially influence the study’s outcomes. These variables require to be controlled to prevent them from making the results of the study inaccurate.
One way that can be employed to control extraneous variables is through random sampling. Random sampling refers to experimenting on a subset of individuals chosen from a larger set in which a subset of individuals undergoes selection at random. This strategy controls extraneous variables as it does not overlook them but ensures they are equal between all research groups. Finally, another way that can be used is ensuring there is a consistent environment concerning the environment of the research study.
References
Andrade, C. (2021). A student’s guide to the classification and Operationalization of variables in the conceptualization and design of a clinical study: Part 1. Indian Journal of Psychological Medicine, 43(2), 177-179. https://doi.org/10.1177/0253717621994334
National Library of Medicine. (2022). Dependent and independent variables. National Library of Medicine – National Institutes of Health. https://www.nlm.nih.gov/nichsr/stats_tutorial/section2/mod4_variables.html
Variables are a vital component of any research study, whether it is qualitative or quantitative in nature. They are the characteristics or attributes that researchers measure and manipulate to understand the relationships between different factors. Variables can take on various forms, such as age, temperature, height, or test scores, and they help researchers study the effects and outcomes of their investigations.
There are different types of variables that researchers encounter during their studies. The first type is independent variables, which are the variables that researchers manipulate or control to observe their effects on other variables. Independent variables are not influenced by other variables in the study, and they are the cause or explanatory factors being investigated. On the other hand, dependent variables are the variables that are influenced by the independent variables. They are the outcomes or effects that researchers measure to determine the impact of the independent variables. The relationship between independent and dependent variables helps researchers understand cause and effect in their studies.
In addition to independent and dependent variables, there are also extraneous variables that researchers need to be aware of. Extraneous variables are factors or characteristics that are not the primary focus of the study but have the potential to influence the outcomes. These variables can introduce bias or confounding effects if not controlled or accounted for in the research design. Examples of extraneous variables include situational variables, participant variables, experimenter variables, and demand characteristic variables.
To control extraneous variables, researchers employ various strategies. Random sampling is one approach that helps ensure a representative sample is selected from the population of interest, reducing the potential influence of confounding factors. Standardized procedures are used to maintain consistency across data collection, minimizing variability introduced by extraneous factors. Counterbalancing techniques, such as varying the order of conditions or treatments, can help control for the order effect. Additionally, researchers may use masking or blinding techniques to minimize biases and ensure unbiased data collection.
By understanding the different types of variables and employing appropriate strategies to control extraneous variables, researchers can enhance the validity and reliability of their studies. This allows for more accurate conclusions and generalizations based on the research findings. Furthermore, researchers should consider the limitations and potential impact of extraneous variables when interpreting their results and drawing conclusions.
In conclusion, variables are essential components of research studies, serving as the characteristics or attributes that researchers measure and manipulate. Independent variables are the factors being manipulated, while dependent variables are the outcomes or effects being measured. Extraneous variables, although not the primary focus of the study, can influence the outcomes and should be controlled or accounted for. By employing various control strategies and techniques, researchers can minimize the impact of extraneous variables and improve the validity and reliability of their studies. This enables researchers to make more informed decisions, contribute to evidence-based practices, and advance knowledge in their respective fields.
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