Confounding variables are factors other than the independent variable that may cause a result. In your caffeine study, for example, it is possible that the students who received caffeine also had more sleep than the control group. Experimenter bias is another confound that can also affect the results of an experiment.Click to see full answer. Similarly, you may ask, what is a confounding variable in an experiment?A confounding variable is an outside influence that changes the effect of a dependent and independent variable. This extraneous influence is used to influence the outcome of an experimental design. Confounding variables can ruin an experiment and produce useless results.Likewise, what is a confounding variable in statistics? A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. They are like extra independent variables that are having a hidden effect on your dependent variables. Confounding variables can cause two major problems: Increase variance. Also to know, what is confounding in psychology? Confound. Confounding is when a researcher does not control some extraneous variables that may influence the resultsthe only variable that should influence the results is the variable being studied. This is a very serious problem since the researcher can’t really claim that he/she established cause and effect.How do you identify a confounding variable?A simple, direct way to determine whether a given risk factor caused confounding is to compare the estimated measure of association before and after adjusting for confounding. In other words, compute the measure of association both before and after adjusting for a potential confounding factor.

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