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Extraneous variables can be controlled through various methods, including random assignment, which ensures that participants are evenly distributed across different groups, minimizing bias. Standardizing procedures, such as maintaining consistent environments and instructions for all participants, helps reduce variability. Additionally, researchers can use control groups to compare results and statistical techniques to account for potential confounding factors. Lastly, pre-screening participants to match them on key characteristics can also help mitigate the influence of extraneous variables.

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What are the three essential characteristics of experimentation?

The three essential characteristics of experimentation are manipulation, control, and randomization. Manipulation involves deliberately changing one or more variables to observe the effect on a dependent variable. Control refers to the ability to eliminate or account for extraneous factors that could influence the results, ensuring that the observed effects are due to the manipulated variables. Randomization helps to ensure that participants are assigned to different conditions in a way that minimizes bias, enhancing the reliability and generalizability of the findings.


Is it true that if you didn't control variables in an experiment there would be no way to know which variable explained your results?

True


What are controlling variables?

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What are the advantages experimental method?

The experimental method allows researchers to establish cause-and-effect relationships by manipulating independent variables and controlling extraneous factors. This approach enhances the reliability and validity of findings, as it minimizes biases and confounding variables. Additionally, experiments can be replicated, which contributes to the robustness of scientific knowledge. Overall, the experimental method provides a systematic way to test hypotheses and draw conclusions based on empirical evidence.


Why is a controlled experiment important to science?

A controlled experiment means that you try to keep all the variables that are involved in the experiment under control apart from the Dependent and the Independent variables to make sure that any results obtained from the experiment have been affected by the independent variable and not some other extraneous variable. It also ensures that the experiment would have high validity. That is, if the experiment has really measured what it was supposed to measure.

Related Questions

Does qualitative research not control variables?

In qualitative research, researchers do not typically control variables in the same way as in quantitative research. Instead, they aim to explore and understand the complexities and nuances of a phenomenon without manipulating variables. The focus is on gaining in-depth insights and understanding the context in which the research is conducted.


What is the definition of a control variable?

Variables are simply names used to refer to some location in memory - a location that holds a value with which we are working. It may help to think of variables as a placeholder for a value. in system


Extraneous in a sentence?

One handy way to dodge a difficult question is to earnestly begin talking about something extraneous to it.


What is used as a way to compare values for a dependent variables in many experiments?

experimental control


If you do not control variables in an experiment there will be no way to know which variable explains your results?

true


What are the three essential characteristics of experimentation?

The three essential characteristics of experimentation are manipulation, control, and randomization. Manipulation involves deliberately changing one or more variables to observe the effect on a dependent variable. Control refers to the ability to eliminate or account for extraneous factors that could influence the results, ensuring that the observed effects are due to the manipulated variables. Randomization helps to ensure that participants are assigned to different conditions in a way that minimizes bias, enhancing the reliability and generalizability of the findings.


If you do not control variables in an experiment there will bw no way to know which variable explains your results?

yes


What is used as way to compare values for dependant variables in many experiments?

experimental control


What is used in a way to compare values for dependent variables in many experiment?

experimental control


Is it true that if you didn't control variables in an experiment there would be no way to know which variable explained your results?

True


What should be close to the real thing in an experiment?

In an experiment, the conditions, variables, and procedures should closely resemble real-life situations to ensure the results are valid and applicable to the real world. This includes controlling for as many extraneous variables as possible and designing the experiment in a way that reflects the natural environment or scenario being studied.


What are controlling variables?

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