What is an example of an extraneous variable?

What is an example of an extraneous variable?

For example, if a participant is taking a test in a chilly room, the temperature would be considered an extraneous variable. Some participants may not be affected by the cold, but others might be distracted or annoyed by the temperature of the room.

What are confounding and extraneous variables?

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 confounding and extraneous variables example?

A confounding variable is an extraneous variable that is related to your independent variable and might affect your dependent variable. In an ideal study, there will be no confounding variables. In this example, stress is the independent variable, and the muscle cramps are the dependent variable.

What is an example of a confounding variable?

A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. For example, if you are researching whether lack of exercise leads to weight gain, then lack of exercise is your independent variable and weight gain is your dependent variable.

How are extraneous variables different from confounding variables?

Extraneous vs confounding variables 1 An extraneous variable is anything that could influence the dependent variable. 2 A confounding variable influences the dependent variable, and also correlates with or causally affects the independent… More

What makes a variable a confounding variable in a study?

k.a. confounders or confounding factors) are a type of extraneous variable that are related to a study’s independent and dependent variables. A variable must meet two conditions to be a confounder:

When to use an extraneous variable in statology?

Thus, when researchers draw conclusions about the effect that an independent variable has on a dependent variable, they can be sure that no extraneous variables are actually causing the true effect. What is a Lurking Variable? What is a Confounding Variable?

Which is the best way to control confounding effects?

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.