no the variables cant be controlled.
Extraneous variables are any variables other than the independent variable (the experimental variable) that can affect the real-world situation, with multiple uncontrollable variables that can affect the outcome of any experimental manipulation. These include the different personality, intellectual, and motivational qualities of the individual students in the various classes and the nature and quality of their interactions. Added to this is the fact that each class has a different teacher, whose own personal teaching style may influence the outcome. Some of these extraneous variables can be statistically controlled by the use of techniques like analysis of covariance, but this may be of limited value in a small scale intervention.
Control variables are kept the same to eliminate potential confounding factors that could influence the results of an experiment or study. By holding these variables constant, researchers can more accurately isolate the effect of the independent variable on the dependent variable. This enhances the validity and reliability of the findings, allowing for clearer conclusions to be drawn about causal relationships. Ultimately, controlling for extraneous variables helps to ensure that the observed effects are genuinely due to the manipulation of the independent variable.
The basic goal of the experimental method is to establish cause-and-effect relationships by manipulating one or more independent variables and observing the resulting changes in dependent variables. This method allows researchers to control for extraneous factors, ensuring that any observed effects can be attributed to the manipulated variables. By conducting experiments in a systematic and replicable manner, researchers can draw reliable conclusions about the phenomena being studied.
To increase the validity of the experiment, implementing a control group would be beneficial, as it allows for a direct comparison between the experimental group and a baseline condition. Additionally, using random assignment to allocate participants to different groups can help minimize selection bias and ensure that the results are more generalizable. Finally, standardizing the procedures and materials used throughout the experiment can help eliminate extraneous variables that could skew the results.
control
no the variables cant be controlled.
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Independent Variables, Dependent Variables and Extraneous Variables.
Extraneous variables are factors or conditions that are not the primary focus of a study but can influence the outcome of an experiment or research. They can introduce noise or bias, potentially skewing results and leading to incorrect conclusions. Researchers aim to control or account for these variables to ensure that the effects observed are truly due to the independent variable being studied. Proper experimental design helps minimize the impact of extraneous variables.
Extraneous variables are factors other than the independent variable that can influence the dependent variable, potentially skewing the results of an experiment. Confounding variables are a specific type of extraneous variable that is related to both the independent and dependent variables, making it difficult to determine the true effect of the independent variable on the dependent variable. Both types of variables can threaten the internal validity of a study if not properly controlled.
extraneous variable
Extraneous variables are any variables other than the independent variable (the experimental variable) that can affect the real-world situation, with multiple uncontrollable variables that can affect the outcome of any experimental manipulation. These include the different personality, intellectual, and motivational qualities of the individual students in the various classes and the nature and quality of their interactions. Added to this is the fact that each class has a different teacher, whose own personal teaching style may influence the outcome. Some of these extraneous variables can be statistically controlled by the use of techniques like analysis of covariance, but this may be of limited value in a small scale intervention.
Variables that may affect the results of an experiment are described by the umbrella term "extraneous variable". extraneous variables that actually affect the result without experimenter knowledge is called a confounding variables eg. if the experimenter is testing verbal recall performance, hair color is not going to effect the results. hair color is an extraneous variable, but not compound. but whether or not a subject had a good nights sleep can have a huge effect on the ability to remember words. therefore sleep is a compound variable.
An experiment is when the researcher manipulates the independent variable and records its effect on the dependent variable whilst maintaining strict control over any extraneous variables. A correlation is a statistical relationship between two or more variables. The researcher makes a change in one of the variables to see what is affected.
A statistical technique used to eliminate variance in dependent variables caused by extraneous sources. In evaluation research, statistical controls are often used to control for possible variation due to selection bias by adjusting data for program and control group on relevant characteristics.
We controlled the independent variable (the variable we manipulated) to observe its effect on the dependent variable (the variable we measured). We also controlled for any potential confounding variables that could influence the results. Additionally, we ensured consistency in experimental conditions to eliminate any extraneous variables that could impact the outcome.