When conducting research, variables are considered to be any characteristics that we can measure such as height, age, temperature, or test scores. (Bhandari, 2023) Independent variables
You manipulate independent variables and then measure the dependent variables to find out what the effect might be. An independent variable is the variable you manipulate to explore its results. This variable is not influenced by any other variable in your experiment.
The dependent variable is the one where you see changes when the independent variable is manipulated. An extraneous variable is any uncontrolled factor that can influence the results of an experiment. (Eads, 2022) There are four separate extraneous variables that are as follows:
-Situational variables are environmental factors that could affect the way a test subject behaves in an experiment.
These are things such as lighting, background noise, room temperature, visual distractions. (Eads, 2022)
-Participant variables which can be called personal variables, occur when a participant’s personal feelings or character traits affect the experiment. These describe a persons natural intelligence, personal demographics, their particular mood, an individual’s distinctive capabilities, and their level of understanding of the study. (Eads, 2022)
-When a researcher unintentionally influences how the person behaves, this is called an experimenter variable. Mannerisms are easily picked up from the company we’re around. Speaking in a positive or negative tone when providing experiment instructions is another example. (Eads, 2022)
-Demand characteristic variables convey information or clues to the participant hinting about the purpose of the study. They can also let the participant know the outcome the researcher desires and this might affect the results of the study. (Eads, 2022)
Researchers attempt to control extraneous variables in their experiments. This can be done by several different ways. Control can gained by using random sampling. Others measures include using standardized procedures, counterbalancing, and masking.
Bhandari, Pritha (June 22,2023) “Independent vs. Dependent Variables | Definition & Examples” Retrieved from:
https://www.scribbr.com/methodology/independent-and-dependent-variables/
Eads, Audrey (December 12,2022) “Extraneous Variables: Examples, Types and Controls” Retrieved from: https://www.indeed.com/career-advice/career-development/extraneous-variable
When conducting research, variables play a crucial role as they are the characteristics or factors that researchers measure and manipulate to explore their effects. The two main types of variables in research are independent variables and dependent variables. An independent variable is the one that researchers manipulate to observe its impact on the dependent variable, which is the variable that changes in response to the manipulation of the independent variable (Bhandari, 2023).
In addition to these variables, researchers also need to be aware of extraneous variables, which are uncontrolled factors that could potentially influence the results of an experiment (Eads, 2022). There are four main types of extraneous variables to consider:
Situational variables: These are environmental factors that can affect participants’ behavior in an experiment. Examples include lighting, background noise, room temperature, and visual distractions. Researchers need to be aware of these variables as they can influence how participants respond or behave during the study.
Participant variables: Also known as personal variables, these factors involve participants’ personal feelings or character traits that could impact the experiment. These variables encompass a wide range of characteristics, such as natural intelligence, personal demographics, mood, unique abilities, and level of understanding of the study. Researchers must consider these variables as they can influence participants’ responses and potentially confound the results.
Experimenter variables: These variables occur when the researcher unintentionally influences participant behavior. The mannerisms or behaviors exhibited by the researcher can be picked up by participants and affect their responses. For instance, speaking in a positive or negative tone when providing experiment instructions can inadvertently influence participant behavior. Researchers need to be cautious about their own actions to minimize experimenter variables.
Demand characteristic variables: These variables refer to cues or information conveyed to participants that may hint at the purpose of the study or the desired outcome. Participants might alter their behavior based on these cues, leading to biased results. It is essential for researchers to minimize demand characteristics to ensure the participants’ responses are not influenced by these cues.
To maintain control over extraneous variables, researchers employ various strategies. These include random sampling, which helps ensure that participants are selected in a random and unbiased manner. Standardized procedures are used to provide consistency in data collection and minimize variability. Counterbalancing techniques, such as using different orders of presentation or assigning participants to different experimental conditions, can help control for the order effect. Lastly, masking or blinding techniques can be employed to minimize biases and ensure unbiased data collection (Eads, 2022).
By understanding and controlling for extraneous variables, researchers can enhance the internal validity of their studies and increase the confidence in the findings. This allows for more accurate interpretations and generalizations of the results. Being aware of the different types of variables and employing appropriate strategies to manage them contributes to the rigor and reliability of research.
In conclusion, variables play a crucial role in research, with independent and dependent variables being the main focus. However, researchers must also consider extraneous variables that can influence the results. By employing various control strategies and techniques, researchers can minimize the impact of extraneous variables and enhance the validity and reliability of their studies. This enables more accurate conclusions and contributes to the advancement of knowledge in various fields of research.
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