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  1. Apr 2, 2021 · In an experiment, an extraneous variable is any variable that you’re not investigating that can potentially affect the outcomes of your research study. If left uncontrolled, extraneous variables can lead to inaccurate conclusions about the relationship between independent and dependent variables.

  2. What is a Nuisance Variable? Nuisance variables increase the variability in an experiment. Starting off, a nuisance variable is a type of extraneous variable that causes an increase in variability within groups in an experiment. Following this, these variables tend not to differ between levels of an independent variable (like confounding ...

  3. Nov 10, 2023 · Extraneous variables are factors other than the independent and dependent variables that may unintentionally influence the results of an experiment. They need to be controlled, minimized, or accounted for through careful experimental design and statistical analysis to avoid confounding the relationship between the independent and dependent ...

  4. Mar 25, 2024 · Extraneous variable is a variable that is not the main focus of a study, but which may affect the outcome or results of the study. Extraneous variables can be sources of error in research and can potentially confound the relationships between the variables being studied.

  5. May 4, 2022 · In an experiment, an extraneous variable is any variable that you’re not investigating that can potentially affect the outcomes of your research study. If left uncontrolled, extraneous variables can lead to inaccurate conclusions about the relationship between independent and dependent variables. Table of contents.

  6. May 29, 2020 · 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.

  7. Confounding variable: Also called a nuisance variable or third variable. This is a third variable that causes a change in both the IV and the DV at the same time. To borrow an example, we might observe a correlation between ice cream consumption and snake bites.