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Sign In Confounding Variable A Confounding Variable is an extraneous variable whose presence affects the variables being studied so that the results you get do not reflect the actual relationship between the variables under investigation.
When conducting an experiment, the basic question that any experimenter is asking is: Any manipulation of A is expected to result in a change in the effect. For example, you want to study whether bottle-feeding Cause is related to an increased risk of diarrhea in infants Effect.
It would seem logical that bottle-fed infants are more prone to diarrhea since water and the bottle could get contaminated, milk could go bad, etc. But if you were to conduct this study, you would learn that bottle-fed infants are less likely to develop diarrhea than breast-fed infants.
It would seem that bottle-feeding actually protected against the illness. But in truth, you would have missed a very important confounding variable - mother's education. If you take mother's education into account, you would learn that better-educated mothers are more likely to bottle-feed their infants, who are also less likely to develop diarrhea due to better hygienic practices of the mothers.
In other words, mother's education is related to both the Cause and the Effect. Not only did the Confounding Variable suppress the effect of bottle-feeding, it even appeared to reverse it - confounding results, indeed! This example illustrates the importance of identifying and controlling for possible Confounding Variables in any research study.
A thorough review of available literature should help you do this. All material within this site is the property of AlleyDog. This material may not be reprinted or copied for any reason without the express written consent of AlleyDog.
It is a state of ashio-midori.com is the taking possession by the mind in clear and vivid form of one out of what seem several simultaneous objects or trains of thought. Beyond interference control impairment in ADHD: Evidence from increased intraindividual variability in the color-stroop test Erika Borella Department of General Psychology, University of Padova, Padova, Italy Correspondence [email protected] Variables Independent variable (IV): Variable the experimenter manipulates - assumed to have a direct effect on the dependent variable.
Dependent variable (DV): Variable the experimenter measures, after making changes to the IV which are assumed to affect the DV.
Extraneous variables (Ex Vs): Other variables, apart from the IV, that might affect the DV. - Describe Stroop's Famous Experiment and the Stroop Effect Strop Ridley wrote the article, known as the “Studies of Interference in Serial Verbal Reactions” in the year The article was based on a research that he conducted using colors to analyze the effects of interference on serial verbal reactions.
Interactive Stroop Effect Experiment In this experiment you are required to say the color of the word, not what the word says. For example, for the word, RED, you should say "Blue." As soon as the words appear on your screen, read the list as fast as you can.
The stroop effect has became very useful test in the area of psychology. It is to test the psychological capacity of a person in the neuropsychological test. Furthermore, it is commonly used in clinical settings and this test is also considered to measure cognitive processing such as selective attention, cognitive flexibility and processing.