For example, a study looking at the association between obesity and heart disease might be confounded by age, diet, smoking status, and a variety of other risk factors that might be unevenly distributed between the groups being compared.
What is considered a 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.
Which is an example of a possible confounding variable quizlet?
Example: Participant may think that the researcher is too young to be credible. Psychological characteristics if the researcher can affect the behavior of the participants. Example: Personality may be off putting or researcher may be in a bad mood.
What is a confounding variable in statistics quizlet?
A confounding variable is an explanatory variable that was considered in a study whose effect cannot be distinguished from a second explanatory variable in the study.
What is confounding variable in epidemiology?
Confounding is the distortion of the association between an exposure and health outcome by an extraneous, third variable called a confounder.
How do you identify a confounding variable in a study?
A variable is a confounder if it satisfies one of the following conditions:
It has been proven so in previous studies.Adjusting for it produces more than 10% change in the relationship between the exposure and the outcome.
What is a confounding variable in an experimental design?
In experimental research designs, a confounding variable often presents as an unintended or undesirable systematic difference between groups (the independent variable) that is also systematically related to the outcome of interest (dependent variable).
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.
What is a confounding variable in psychology quizlet?
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 quizlet?
Confounding: basic definition. A mixing of effects between the exposure, the outcome and a third extraneous variable known as a confounder. Confounding variable. A confounding variable is independently associated with both the risk factor (exposure) and the disease (outcome).
What is meant by confounding quizlet?
Confounding in a study occurs when the effects of two or more explanatory variables are not separated. Therefore, any relation that may exist between an explanatory variable and the response variable may be due to some other variable or variables not accounted for in the study.
What are confounding variables and what problems can they cause quizlet?
Confounding Variables. Items or quantities that are not intended to be part of the study. What problems can confounding variables cause? They can cause the study to favor certain results unexpectedly. They can cause incorrect conclusions to be drawn from the study.
What is an example of a confounding in epidemiology?
An example of confounding: When examining the relationship between alcohol consumption (E) and heart disease (D), smoking (C) would be an important confounding factor, since smoking is correlated with alcohol consumption and smoking is associated with heart disease [2].
What are common confounders?
Common confounders are attributes of the participants; for example, body mass index, smoking status, age at onset of illness, socioeconomic status, educational status, and extent of support network. Life events are also potential confounders.
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