affect the
21 Aug 2014 Defining Variables Variables can be defined as any aspect of a In this example, our independent variable (IV), the variable we start with confounding variables, are categorized into two groups: extraneous and intervening.
In this particular example the type of information is the independent variable (because it changes) Extraneous variables should be controlled were possible.
Extraneous Variables are undesirable variables that influence the relationship between the variables that an experimenter is examining. Another way to think of this, is that these are variables the influence the outcome of an experiment, though they are not the variables that are actually of interest.
6 Sep 2016 By holding the extraneous variables constant across all conditions of the experiment. For example, imagine that a researcher has devised an

In this article, we (a) explain what extraneous variables are, providing some examples, (b) highlight when extraneous variables become confounding variables,
Agreed, this example seems a bit ridiculous, but you can't prove that these So if you take the definition of ``extraneous variable'' literally (i.e., extraneous
10 May 2015 When you run an experiment, you're looking to see if one variable (the independent variable) has an effect on another variable (the dependent variable). Other variables, perhaps ones that never crossed your mind, might influence the outcome of an experiment. These undesirable variables are called extraneous variables.
What happens when something other than your independent variable is influencing the outcome of your study? In this lesson, we'll look at two types

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August 2017