A lurking variable is a variable that is not measured in the study. It is a third variable that is neither the explanatory nor the response variable, but it
affects your interpretation of the relationship between the explanatory and response variables
.
Why are lurking variables bad?
A lurking variable is a variable that is not among the explanatory or response variables in a study and yet may influence the interpretation of relationships among those variables. A lurking variable
can falsely suggest a strong relationship between x and y
, or it can hide a relationship that is really there.
Why are lurking variables important?
A lurking variable is a variable that is unknown and not controlled for; It has an important,
significant effect on the variables of interest
. … In other words, the variables will cause your results to be biased. In addition, any correlation or regression analysis you perform will be misleading.
What is a lurking variable in an experiment?
A lurking variable is, by definition,
a variable that has an important effect and yet is not included among the predictor variables under consideration
(Box 1966).
What makes a lurking variable confounding?
A lurking variable is a variable that has an important effect on the relationship among the variables in the study, but is not one of the explanatory variables studied. Two variables are confounded
when their effects on a response variable cannot be distinguished from each other
.
What are the uses of extraneous variable?
Why do extraneous variables matter? Extraneous variables can
threaten the internal validity of your study by providing alternative explanations for your results
. In an experiment, you manipulate an independent variable to study its effects on a dependent variable.
How do you identify a lurking variable?
A lurking variable is a variable that
is not measured in the study
. It is a third variable that is neither the explanatory nor the response variable, but it affects your interpretation of the relationship between the explanatory and response variables.
What is the difference between confounding and lurking variables?
Lurking variable. … It is not considered in the study but
could influence the relationship between the variables
in the study. Confounding variable. A variable that is in the study and is related to the other study variables, thus having an effect on the relationship between these variables.
What is confounding variable in statistics?
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 a third variable that influences both the independent and dependent variables.
Do the data provide evidence that early light exposure causes myopia?
We cannot conclude that light exposure
in early childhood somehow causes myopia in older children. The data is suggestive of a relationship, but we can’t rule out the possibility that a lurking variable is associated with parents’ use of light with their young children and the children’s later myopia.
What is an example of lurking variable?
A lurking variable can falsely identify a strong relationship between variables or it can hide the true relationship. For example, a research scientist studies the
effect of diet and exercise on a person’s blood pressure
. Lurking variables that also affect blood pressure are whether a person smokes and stress levels.
What is another word for lurking variable?
In statistics,
a confounder
(also confounding variable, confounding factor, extraneous determinant or lurking variable) is a variable that influences both the dependent variable and independent variable, causing a spurious association.
What is a common response lurking variable?
• Common response refers to the possibility that
a change in a
.
lurking variable is causing changes in both our explanatory
.
variable
and our response variable.
How do you control lurking variables?
In most cases, the best you can do is
simply identify
, rather then prevent, potential lurking variables that may be impacting the study. In experimental studies, however, the impact of lurking variables can mostly be eliminated with good experimental design.
What is a response variable?
Response variables are defined as
outcomes that will be used as the main evidence of the treatment effect of the investigational drug
. Treatment effect is defined as an effect that is expected to result from a therapy.
Is a confounding variable a response variable?
A confounding variable is a variable that: –
affects the response variable
and also – is related to the explanatory variable. Example: Admit (yes/no) is response variable and GPA is explanatory variable. Possible confounding variable is general ambition.
