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What are extraneous and confounding 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.
What describes an independent variable?
An independent variable is the factor in an experiment that is manipulated or changed by the researcher to observe its effect on a dependent variable. It is the variable that stands alone and is not influenced by other variables in the study. In a controlled experiment, the independent variable is the presumed cause, while the dependent variable is the effect being measured.
What are the independent dependent and control variables?
The independent variable is the thing you are changing/varying. The dependent variable is the thing you are measuring. This variable should be affected by the independent variable. Control variables are anything that must be kept constant. If there are any other factors which affect the dependent variable, then these need to be controlled so that they do not have any significant effect (basically ensuring that you are actually measuring the effects of the independent variable).
Can a quantitative study have an independent and dependent variables?
Yes. The presumed cause is the independent variable and the presumed effect is the dependent varibale. Variablility in the dependent variable is presumed to depend on variablility in the independent variables. It is used more of a direction of influence rather than a cause and effect scenario. Ex. need for increased assistance is dependent on decrease in health. Health is the independent variable and assistance is the dependent.
What does independent mean scientifictly?
In scientific terms, "independent" typically refers to a variable that is manipulated or controlled in an experiment to observe its effect on a dependent variable. The independent variable is not affected by other variables in the study, allowing researchers to establish cause-and-effect relationships. For example, in an experiment testing the effect of light on plant growth, the amount of light is the independent variable, while the growth of the plants is the dependent variable.
What variable do you decide to change?
I will change a single independent variable at a time while keeping all other variables constant to accurately measure its effect on the dependent variable in an experiment.
How many independent variable are there in a controlled experiment?
In a controlled experiment, there is typically one independent variable. This is the variable that researchers manipulate to observe its effect on the dependent variable. Keeping all other variables constant allows for a clear understanding of the relationship between the independent and dependent variables. However, some experiments may include multiple independent variables, but each one must be tested in a controlled manner.
A variable that changes in an experiment according to other variables?
The variable that changes in an experiment according to other variables is called the dependent variable. It is the variable that is measured or observed to determine the effect of the manipulated independent variable.
What statement best describes a controlled experiment?
A controlled experiment involves manipulating one variable (independent variable) while keeping all other variables constant, in order to observe the effect on another variable (dependent variable). This allows researchers to determine a cause-and-effect relationship between the variables being studied.
What are the elements of experiments and what kinds of variables are there?
The elements of experiments include the independent variable (manipulated by the researcher), dependent variable (outcome being measured), control group (not exposed to the independent variable), and experimental group (exposed to the independent variable). Variables can be independent (controlled by the researcher), dependent (measured to see the effect of the independent variable), or extraneous (unintended variables that can affect the results).
How many independent variables are there in a simple controlled investigation?
In a simple controlled investigation, there is typically only one independent variable that is intentionally manipulated by the researcher. This allows for evaluating the effect of that variable on the dependent variable while keeping other factors constant.
What factor remains fixed in an experiment?
The factor that remains fixed in an experiment is the independent variable. This variable is deliberately controlled or manipulated by the experimenter to observe its effect on the dependent variable, while keeping all other variables constant.
What is an Dependent varible?
Variables used in an experiment or modelling can be divided into three types: "dependent variable", "independent variable", or other.The "dependent variable" represents the output or effect, or is tested to see if it is the effect.The "independent variables" represent the inputs or causes, or are tested to see if they are the cause. Other variables may also be observed for various reasons.
What are the differences between independent and dependent variables?
Independent variables are controlled or manipulated by the researcher to determine their effect on the dependent variable. Dependent variables, on the other hand, are the outcome or response that is measured in an experiment. The independent variable causes a change in the dependent variable.
What happens during a controlled experiment?
In a controlled experiment, a researcher manipulates one variable (independent variable) to observe the effect on another variable (dependent variable), while keeping all other variables constant. This allows the researcher to establish a cause-and-effect relationship between the variables being studied. Control groups are used to compare the results with the experimental group.
Which variable can you control?
You can control independent variables in an experiment. These are factors that you deliberately change in order to observe their effect on dependent variables, which are the outcomes you are measuring. By controlling independent variables, you can help determine cause-and-effect relationships.
What are extraneous and confounding 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.
