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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.
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 ...
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.
Extraneous variables (EVs) are factors that are related to the phenomenon under study, and they can make the results of research invalid, causing statistical bias. For example, if the participants in the study primarily consist of one gender, or one age group, then the results of a study will be affected by the extraneous variable of gender or age.
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.
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.
What are extraneous variables? Extraneous variables are any variables in a study that are not the independent or dependent variables but could still influence the results, leading to misleading conclusions.