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Apr 2, 2021 · Example: Extraneous variables. In your experiment, these extraneous variables can affect the science knowledge scores: Participant’s major (e.g., STEM or humanities) Participant’s interest in science. Demographic variables such as gender or educational background. Time of day of testing.
Jan 3, 2024 · Examples of Extraneous Variables. Weather: The weather is one very common extraneous variable that can affect results. For example, if you’re testing driving skills between different groups of people on different days, rain on the road will have a huge impact.
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 ...
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.
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.
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.
Aug 24, 2023 · In this article, we discuss what extraneous variables are, why they’re important, the four different types of extraneous variables, how to control them and frequently asked questions about extraneous variables.
