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controlled variable (A+)

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Q: In which of these does a experimenter want to prevent variation?
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In which of these does an experimenter want to prevent variation?

controlled variable


Which variable does a experimenter want to prevent variation?

The variable that the experimenter wants to prevent variation in is the independent variable. This is the variable that is intentionally changed or manipulated by the experimenter to see its effect on the dependent variable. By controlling the independent variable and keeping it constant, the experimenter can ensure that any changes in the dependent variable are a result of the manipulation of the independent variable.


When did Electrical Experimenter end?

Electrical Experimenter ended in 1931.


When was Electrical Experimenter created?

Electrical Experimenter was created in 1913.


Who is a persone who does experiments?

They're called 'subjects'


What is the term used for a conscious or subconcious influence an experimenter may have on the interpretation of their data?

experimenter


What are the factors that are tested that are being varied by the experimenter?

Independent Variables are the factors that are tested by beingvaried by the experimenter.


What are the factors that are testing by being varied by the experimenter?

Independent Variables are the factors that are tested by beingvaried by the experimenter.


What are the factors that are tested by being varies by the experimenter?

Independent Variables are the factors that are tested by beingvaried by the experimenter.


What variable is measured by the experimenter?

The variable that is intentionally manipulated or changed by the experimenter is called the independent variable.


In a scientific experimenter is the thing the experimenter deliberately changes while observing?

Independent variable. Apex


What procedure helps correct for experimenter bias?

Using double-blind procedures where both the experimenter and participants are unaware of the group assignments can help correct for experimenter bias. This helps ensure that the results are not influenced by the experimenter's expectations or behavior. Additionally, having clear operational definitions, standardized protocols, and using randomization can also help minimize experimenter bias.