How does confounding variable affect the validity of the study ?
Answers
Answer:
A variable is considered to be confounding because it provides an alternative explanation for your results; that is, an alternative explanation for the relationship or differences between the variables and/or groups that you are measuring. This threatens the internal validity of your results.
Answer:
To ensure the internal validity of your research, you must consider the impact of confounding variables.
Explanation:
From the above question,
They have given :
Confounding variables can have a significant impact on the validity of a study, as they can introduce bias and skew the results. A confounding variable is any factor that influences the outcome of a study and is not the primary factor being measured.
To ensure the internal validity of your research, you must consider the impact of confounding variables.
This can mean a relationship between two variables that is not accounted for, or a third variable that is influencing the results of the study without the researcher being aware of it. By accounting for confounding variables in the study design, researchers are able to limit their impact and ensure the validity of their results.
If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables, or even find a causal relationship where none exists.
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