extraneous variable can be defined as any variable other than the independent variable that could cause a change in the dependent variable. In our study we might realize that age could play a role in our outcome, as could family history, education of parents or partner, interest in the class topic, or even time of day, preference for the instructor's teaching style or personality. The list, unfortunately, could be quite long and must be dealt with in order to increase the probability of reaching valid and reliable results.
extraneous variable
Extraneous variable a.k.a. Confounding vaiable is a variable that affects an independent variable n also afects a dependent variable at d same time confounding relatnship btn the independent and dependent variable. Mediating variable a.k.a. Intervening variable, it is a variable forming a link btn two variables that are causualy conected.
when you solve a questiom, you get an answer. If you chect your answer by substituting the value of the variable in the question and you don't get L.H.S and R.H.S equal then your answer is called extraneous solution.
False: they are called exogenous.
Variables that may affect the results of an experiment are described by the umbrella term "extraneous variable". extraneous variables that actually affect the result without experimenter knowledge is called a confounding variables eg. if the experimenter is testing verbal recall performance, hair color is not going to effect the results. hair color is an extraneous variable, but not compound. but whether or not a subject had a good nights sleep can have a huge effect on the ability to remember words. therefore sleep is a compound variable.
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The variable that the investigator changes or manipulates during the experiment is called the independent variable. This is the factor that is deliberately altered in order to observe its effect on the dependent variable, which is the outcome being measured.
extraneous " not pertinent; irrelevant: an extraneous remark; extraneous decoration."
An extraneous factor is one that is not pertinent or relevant to what is being studied, for instance, in a research experiment. It may, however, have an unwanted impact if naturally present and not controlled or distributed evenly across groups. Example: You give the same test to two groups. One group was allowed to study, the other was not. The "study vs. no study" variable is what you are most interested in, and you have attempted to control for other variables that would not be considered relevant to your interest is the study versus no study variable. For instance, the gender of the subjects is not something you want to study in this research, so you make sure that both your study and your no-study subject groups are about the same in terms of gender distribution. You would also want to make sure that the two groups had roughly the same experience in terms of room temperature, time of day taking the test, amount of light to see by and so on so that the groups were differently primarily in whether they studied or not, and nothing else.