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  1. Apr 2, 2021 · Example: Extraneous variables. In your experiment, these extraneous variables can affect the science knowledge scores: Participants major (e.g., STEM or humanities) Participant’s interest in science. Demographic variables such as gender or educational background. Time of day of testing.

  2. Jan 3, 2024 · Extraneous variables (EVs) are factors related to the phenomenon under study, but not specifically included in the research. It is a third major type of variable in a study: Independent variable: The variable that is manipulated or changed by the researcher.

  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. Sep 14, 2020 · An extraneous variable is any variable you’re not interested in studying that could also have some effect on the dependent variable. For example, we might want to know how the number of hours that a basketball player trains per week affects their average points per game.

  5. Mar 25, 2024 · Definition: 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.

  6. 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. Research question.

  7. Feb 7, 2023 · An extraneous variable is any variable not being investigated that has the potential to affect the outcome of a research study. In other words, it is any factor not considered an independent variable that can affect the dependent variables or controlled conditions.