A confounding variable can affect
the correlational relationship between independent and dependent variables
; often resulting in false correlational relationships as it may suggest a positive correlation when there is none.
Do confounding variables affect reliability?
The “something else” would be a confounding variable, defined as “an unforeseen and unaccounted-for variable that
jeopardizes the reliability and validity
of an experiment's outcome.” … So this variable — the amount of lifting — rather than back belt use could explain the different rates of back strain in the two groups.
What could be the effect of having confounding variables?
A confounding variable is a third variable that
influences both the independent and dependent variables
. Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.
What are confounding affects?
Confounding is often referred to as a “mixing of effects”
1 , 2
wherein the
effects of the exposure under study on a given outcome are mixed in with the effects of an additional factor (or set of factors) resulting in a distortion of the true relationship
.
What do confounding variables threaten?
A confounding variable is an extraneous variable that obscures the true relation between two other variables or groups of interest. … It
hinders the ability to infer a causal relation between the variables
and can lead to misattributing a causal effect to the independent variable (a threat to internal validity).
What are some examples of confounding variables?
For example, the use of placebos, or random assignment to groups. So you really can't say for sure whether lack of exercise leads to weight gain. One confounding variable is
how much people eat
. It's also possible that men eat more than women; this could also make sex a confounding variable.
How do you identify a confounding variable in a study?
Identifying Confounding
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.
Can confounding variables be controlled?
A Confounder is a variable whose presence affects the variables being studied so that the results do not reflect the actual relationship. There are various ways to exclude or control confounding variables including
Randomization, Restriction and Matching
.
Is time a confounding variable?
Here, we consider “time-modified confounding,” which occurs when there is a
time-fixed or time-varying cause of disease
that also affects subsequent treatment, but where the effect of this confounder on either the treatment or outcome changes over time.
Is gender a confounding variable?
Numerical example
Two variables (e.g., age and gender) were considered
potential confounding
variables, because both were known risk factors for the outcome of interest.
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.
Why is confounding important?
Confounding is an important concept in epidemiology, because,
if present, it can cause an over- or under- estimate of the observed association between exposure and health outcome
. The distortion introduced by a confounding factor can be large, and it can even change the apparent direction of an effect.
What does negative confounding mean?
Confounding. A situation in which the effect or association between an exposure and outcome is distorted by the presence of another variable. Positive confounding (when the observed association is biased away from the null) and negative confounding
(when the observed association is biased toward the null)
both occur.
What is a confounding or extraneous variable?
Extraneous variables are
those that produce an association between two variables that are not causally related
. … Confounding variables are similar to extraneous variables, the difference being that they are affecting two variables that are not spuriously related.
What is an example of a confounding variable in psychology?
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. Or, the experimental group may have spent more time overall preparing for the exam.
How do confounding variables affect a research study?
Since a confounding variable is a 3rd factor that is not accounted for in a research process, it can affect
an experiment by producing inaccurate research results
. For example, it can suggest a false correlational relationship between dependent and independent variables.
