What are some examples of extraneous variables?

Example: Extraneous variables In your experiment, these extraneous variables can affect the science knowledge scores:

  • Participant’s major (e.g., STEM or humanities)
  • Participant’s interest in science.
  • Demographic variables such as gender or educational background.
  • Time of day of testing.
  • Experiment environment or setting.

What are extraneous variables in a research study?

An extraneous variable is any uncontrolled factor that can influence the results of an experiment. Extraneous variables are an important element in the work of statisticians and scientists.

Is age an extraneous variable?

Extraneous variables are often classified into three main types: Subject variables, which are the characteristics of the individuals being studied that might affect their actions. These variables include age, gender, health status, mood, background, etc.

What are two ways that researchers attempt to control extraneous variables?

Methods to Control Extraneous Variables

  • Randomization: In this approach, treatments are randomly assigned to the experimental groups.
  • Matching: Another important technique is to match the different groups of confounding variables.

What is extraneous variable explain it with the help of an example?

An extraneous variable is any variable you’re not interested in studying that could also have some effect on the dependent variable. For example, we might want to know how the number of hours that a basketball player trains per week affects their average points per game.

How do you account for extraneous variables?

One way to control extraneous variables is with random sampling. Random sampling does not eliminate any extraneous variable, it only ensures it is equal between all groups. If random sampling isn’t used, the effect that an extraneous variable can have on the study results become a lot more of a concern.

What is the difference between independent dependent and extraneous variables?

The dependent varible is defined as the thing which is being measured in an experiment, whilst the independent variable is the thing that is being manipulated or changed. Extraneous variables are undesirable variables that influence the relationship between the variables that the experimenter is observing.

Is time of day an extraneous variable?

Because time of day may affect test performance, it’s an extraneous variable.

How do you deal with extraneous variables?

Why should extraneous variables be controlled?

Extraneous variables may become confounding variables and when they are not controlled early enough in a study, they could affect the results of the experimental research.

Do extraneous variables affect validity?

Extraneous variables can threaten the internal validity of your study by providing alternative explanations for your results. In an experiment, you manipulate an independent variable to study its effects on a dependent variable.

What is the difference between extraneous and confounding variables?

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study. A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.