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An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study. A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.
Apr 2, 2021 · Extraneous vs. confounding variables. A confounding variable is a type of extraneous variable that is associated with both the independent and dependent variables. An extraneous variable is anything that could influence the dependent variable.
May 29, 2020 · Confounding variables (a.k.a. confounders or confounding factors) are a type of extraneous variable that are related to a study’s independent and dependent variables. A variable must meet two conditions to be a confounder:
Nov 21, 2023 · The difference between an extraneous variable vs. a confounding variable is that the extraneous variable may impact the relationship between the independent and dependent variables.
Extraneous variables affect only the dependent variables whereas confounding variables affect the dependent variables but also correlates with the independent variables. Participants that work in a science lab show a confounding variable.
Jul 31, 2023 · When an extraneous variable has not been properly controlled and interferes with the dependent variable (i.e., results), it is called a confounding variable.
May 4, 2022 · A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable. What’s the difference between confounding, independent, and dependent variables?
