What is an example of a confounding variable?

A confounding variable is an outside influence that changes the effect of a dependent and independent variable. … For example, if you are researching whether a lack of exercise has an effect on weight gain, the lack of exercise is the independent variable and weight gain is the dependent variable.

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Subsequently, can gender be a confounding variable?

Hence, due to the relation between age and gender, stratification by age resulted in an uneven distribution of gender among the exposure groups within age strata. As a result, gender is likely to be considered a confounding variable within strata of young and old subjects.

Similarly, how do you identify a confounding variable in a study? If there is a clinically meaningful relationship between an the variable and the risk factor and between the variable and the outcome (regardless of whether that relationship reaches statistical significance), the variable is regarded as a confounder.

Besides, how do you rule out a confounding variable?

One of the method for controlling the confounding variables is to run a multiple logistic regression. You can apply binary logistics regression if the outcome (Dependent ) variable is binary (Yes/No). In logistics regression model, under the covariates include the independent and confounding variables.

What are confounding variables in an experiment?

A confounding variable, also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship. A confounding variable is related to both the supposed cause and the supposed effect of the study.

What are confounding variables in epidemiology?

A confounding variable is a variable (say, pollution) that can cause the disease under study (cancer) and is also associated with the exposure of interest (smoking).

What are extraneous and confounding variables in psychology?

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.

What happens when we ignore confounding?

Ignoring confounding when assessing the associ- ation between an exposure and an outcome variable can lead to an over- estimate or underestimate of the true association between exposure and outcome and can even change the direction of the observed effect.

What is a confounding variable psychology quizlet?

STUDY. Only $35.99/year. Confounding variable. an extraneous variable whose presence affects the variables being studied so that the results you get do not reflect the actual relationship between the variables under investigation.

What is a confounding variables in psychology?

A Confounding Variable is an extraneous variable whose presence affects the variables being studied so that the results you get do not reflect the actual relationship between the variables under investigation. … Any manipulation of A is expected to result in a change in the effect.

What is a third variable example?

For example, as the sales of air conditioners increase, the number of drownings also increases: The unintended third variable in this case would be the increase in heat. …

What is an example of a dependent variable in psychology?

The dependent variable is the variable that is being measured or tested in an experiment. 1 For example, in a study looking at how tutoring impacts test scores, the dependent variable would be the participants’ test scores, since that is what is being measured.

What is confounding bias example?

Confounding is a bias because it can result in a distortion in the measure of association between an exposure and health outcome. … Quantifying the degree of association between an exposure and health outcome. For example, you might want to quantify how being overweight increases the risk of cardiovascular disease (CVD).

What is the meaning of confounding variable?

A confounding variable (confounder) is a factor other than the one being studied that is associated both with the disease (dependent variable) and with the factor being studied (independent variable). A confounding variable may distort or mask the effects of another variable on the disease in question.

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