answersLogoWhite

0


Want this question answered?

Be notified when an answer is posted

Add your answer:

Earn +20 pts
Q: Is placebo a confounding variable
Write your answer...
Submit
Still have questions?
magnify glass
imp
Continue Learning about General Science

What is a placebo variable?

A placebo is a treatment, most commonly a medication of some kind, which is given to a subject with the pretense that it will treat a specific ailment when in fact the treatment will have no significant effect on the subject. The subject may report that the treatment has had a positive effect, when in fact the effect is entirely in the imagination of the subject. Therefore, a placebo variable is a factor that researchers in the medical field must consider when experimenting with new treatments, to decide whether the success of the treatment is due to the psychological or placebo effect of the treatment, or if the treatment itself is working.


What is it that makes us think that a certain item is lucky?

The effect is known as a placebo. This placebo can be created on multiple reactions. This can be caused by a childhood memory, a subliminal message, or just doing an activity with the object, which, in turn, causes a placebo effect.


Which experiment method is important for controlling bias?

Randomizing the unwanted variables is one method of building a stronger causal argument. Controlling or a strong attempt at controlling the unwanted variables would be recommended. One variable, and only one should remain independent; this would ensure the dependent variable could be assessed in the proper light. Eliminating unwanted confounding variables my be necessary for a stronger causal argument; the confounding variables distort the conclusion in the causal argument. Eliminating unwanted variables could mean categorising data; it could mean separating data; it could mean some guess work, such as adding/subtracting figures like a statistician.


When is an experimental variable good?

A experimental variable is good when you are trying to test an experiment. A variable may be easily controlled, isolated, and measured. For instance a difficult experimental variable may be a persons gender. You can control if a man or woman participates in your experiment, you may even easily identify which gender they are. But it may be difficult to determine if the results are due to inherent genetic differences, or social influence on their lives. that isn't to say it can't be used, it just is more complicated than a "good" variable. A good variable could be something like Height, eye color, etc. that don't have that confounding aspect. In summary - The primary variable should be controllable, where you can directly manipulate it. The more controllable, the better. The variable you measure, and the one you control, should be isolated. You should be able to distinguish it from other complicating factors. The variable should be measurable. Some things are easy, such as height. Others not so easy, such as pain, or opinion. Developing tools to measure such variables are key.


What type of experiment is it when only the subject does not know it they are receiving the real treatment of the placebo?

If the experimenters know but the subject does not, it's called a "single blind" study. If the placebo is randomized and neither the subject nor the experimenters know which is the placebo, it's called a "double blind" study.

Related questions

What is the term when a variable unaccounted for in an experiment effects the results in experimental psychology?

confounding variable


What is the confounding variable in behavior before and after an alcohol treatment program?

Drinking


What is the difference between moderating and extraneous variables?

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.


Is testing a confounding variable when evaluating the effectiveness of an alcohol treatment program?

Yes.


What is the meaning of confounding in statistics?

In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.


What is mean by compounding variable?

I think there is confusion between the terms "compounding variable" and "confounding variable". My way of looking at it is that compounding variables describe elements of mathematical functions, only. Confounding variables apply to any research in any domain and are external variables to the research design which might impact on the dependent variable to a lesser or greater extent than the independent variable, which are part of the research design. I am Peter Davies at classmeasures@aol.com


What are Confounding Variables?

In any experiment there are many kinds of variables that will effect the experiment. The independent variable is the manipulation for the experiment and the dependent variable is the measure you take from that experiment. Confounding variables are things in which have an effect on the dependent variable, but were taken into account in the experimental design. For example, you want to know if Drug X has an effect on causing sleep. The experimenter must take care to design the experiment so that he can be very sure that the subjects in the study fell asleep because of the influence of his Drug X, and that the sleepiness was not caused by other factors. Those other factors would be confounding variables.


What is meant by confounding in math?

In statistics a confounding variable is one which can give rise to spurious correlations. For example, my age is fairly well correlated with the number of television sets in the UK. This is not because my getting older sells more TV sets, nor is it because the sale of TV sets makes me grow older. The real reason is that both these are correlated with time and, as the years pass, both increase. So, time is the confounding variable which gives rise to an apparent relationship between TV sets and my age. Confounding variables can have serious effects when statistical methods are being used to develop a cause-and-effect model. In truth, there may be no direct causal relationship, only two independent relationships with a third variable - the confounding factor.


What are the factors in a controlled experiment called?

control group and placebo group variable and controlled


How can you eliminate confounding variables in your experiment?

To eliminate confounding variables, or variables that were not controlled and damaged the validity of the experiment by affecting the dependent and independent variable, the experimenter should plan ahead. They should run many checks before actually running an experiment.


Define internal validity?

Internal validity is higher when you stop confounding variables interfering with the experiment (things that effect the results). Internal validity occurs when a researcher controls all confounding variables and the only variable influencing the results of a study is the one being manipulated by the researcher. This means that the variable the researcher intended to study is indeed the one affecting the results and not something else.


What is a placebo variable?

A placebo is a treatment, most commonly a medication of some kind, which is given to a subject with the pretense that it will treat a specific ailment when in fact the treatment will have no significant effect on the subject. The subject may report that the treatment has had a positive effect, when in fact the effect is entirely in the imagination of the subject. Therefore, a placebo variable is a factor that researchers in the medical field must consider when experimenting with new treatments, to decide whether the success of the treatment is due to the psychological or placebo effect of the treatment, or if the treatment itself is working.