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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.
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Why did Little Albert demonstrate fear of the white rat in Watson and Rayners experiment?
There is no definitive response that can be given because there were two variables in the experiment that could lead to different conclusions.
When algae lives on a sloth it is considered a mutual symbiotic relatation ship why is this an example of mutualism?
Yes due to the confounding neurological pathways they share their coexistance is considered mutual symbiotic.
What are some careers that use variables and equations?
There are many careers that use variables and equations regularly. Computer scientists, engineers, and scientists all depend on the use of variables and equations. Architects, plumbers, and home decorators also utilize variables and equations.
Green glands eliminate waste in?
crayfish
How do sharks eliminate waste?
Sharks eliminate waste in much the same way as any fish. These animals have a surface that releases waste just like fish.
What are confounding variables in Stanford prison experiment?
Confounding variables in the Stanford prison experiment could include the psychological characteristics of the participants, such as pre-existing attitudes towards authority or aggression. Additionally, the specific conditions in which the experiment took place, such as the lack of oversight and the power dynamics between the guards and prisoners, could also be considered confounding variables that influenced the outcomes of the study.
To eliminate the possibility of hidden or unknown variables the scientist must run what kind of experiment?
To eliminate the possibility of hidden or unknown variables the scientist must a control experiment.
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 reason is the primary rationale for controlling variables in an experiment?
To eliminate alternative explanations for the result of an experiment
To be valid an experiment must not include?
To be valid, an experiment must not include bias, confounding variables, or unreliable measures in order to accurately assess the cause-and-effect relationship between variables.
Why do specifics matter in behavioral studies?
Confounding variables are variables that aren't accounted for that may affect the outcome of an experiment. For example, they are things you don't expect to be affecting something. Say we are doing any experiment, and we have set it up to test variables X and Y. However, at the end of the experiment, we find that another variable (variable Z) was part of the experiment but we didn't plan on it being there in the first place. Basically, you need to set it up so that no other variables outside of the ones you want to take place are in the experiment.
What is Situation-Relevant Confounding Variable?
A situation-relevant confounding variable is a third variable that is related to both the independent and dependent variables being studied, which can lead to a spurious relationship between them. It is crucial to identify and control for situation-relevant confounding variables in research to ensure that the true relationship between the variables of interest is accurately captured.
What methods is most helpful for revealing cause effect relationships A the survey b the experiment c correlational research d naturalistic observation?
The experiment method is most helpful for revealing cause-effect relationships as it involves manipulating variables to see the effect on another variable. This allows for establishing causal relationships between variables by controlling for confounding factors.
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.
How many variables can be tested in an experiment?
1
What are variables that do not change in an experiment?
Variables that do not change in an experiment are independent variables.
The variables that do not change in an experiment are what?
Variables that do not change in an experiment are independent variables.
