Asked by: Ozlem Ladislao
medical health diabetes

Can gender be an extraneous variable?

Last Updated: 31st January, 2020

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Designing your studying to include potential confounding variables. Some extraneous variables can be controlled for by designing them out of the experiment. For example, individual differences between participants (e.g., age, gender, salary, etc.)

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Also asked, what are examples of extraneous variables?

There are four types of extraneous variables:

  • Situational Variables. These are aspects of the environment that might affect the participant's behaviour, e.g. noise, temperature, lighting conditions, etc.
  • Participant / Person Variable.
  • Experimenter / Investigator Effects.
  • Demand Characteristics.

One may also ask, is a confounding variable the same as an extraneous variable? Extraneous variables are those that produce an association between two variables that are not causally related. Confounding variables are similar to extraneous variables, the difference being that they are affecting two variables that are not spuriously related.

In this way, what is an extraneous variable in an experiment?

Extraneous variables are any variables that you are not intentionally studying in your experiment or test. When you run an experiment, you're looking to see if one variable (the independent variable) has an effect on another variable (the dependent variable). These undesirable variables are called extraneous variables.

Is age an extraneous variable?

If the temperature effects performance, it's an extraneous variable. It can be literally anything that confounds the dependent variable. Age, height, IQ, economic status, culture of origin, hand dominance, musical ability, academic major, etc.

Related Question Answers

Lore Mitskevich

Professional

How do you find the independent variable in a study?

You can use this typical form to determine the independent and dependent variables from the title of the study. If the study title is in the form "The effects of X on Y in Z". X is the independent variable and Y is the dependent variable - the outcome, and Z is the type of subjects represented.

Izkander Zamarra

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Which is dependent variable?

A dependent variable is what you measure in the experiment and what is affected during the experiment. It is called dependent because it "depends" on the independent variable. In a scientific experiment, you cannot have a dependent variable without an independent variable.

Neisy Eise

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What do u mean by variable?

In programming, a variable is a value that can change, depending on conditions or on information passed to the program. Typically, a program consists of instruction s that tell the computer what to do and data that the program uses when it is running.

Roca Fateh

Explainer

What is the difference between dependent and independent variable?

Remember, the values of both variables may change in an experiment and are recorded. The difference is that the value of the independent variable is controlled by the experimenter, while the value of the dependent variable only changes in response to the independent variable.

Immanuel Ashley

Explainer

What is the independent variable in science?

An independent variable is defines as the variable that is changed or controlled in a scientific experiment. Independent variables are the variables that the experimenter changes to test their dependent variable. A change in the independent variable directly causes a change in the dependent variable.

Shu Caliz

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How do you control a confounding variable?

Strategies to reduce confounding are:
  1. randomization (aim is random distribution of confounders between study groups)
  2. restriction (restrict entry to study of individuals with confounding factors - risks bias in itself)
  3. matching (of individuals or groups, aim for equal distribution of confounders)

Kedarnath Vassaio

Pundit

What are the 3 types of variables?

There are three main types of variables in a scientific experiment: independent variables, which can be controlled or manipulated; dependent variables, which (we hope) are affected by our changes to the independent variables; and control variables, which must be held constant to ensure that we know that it's our

Wava Nizhinsky

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What are some examples of confounding variables?

For example, if you are researching whether lack of exercise leads to weight gain, lack of exercise is your independent variable and weight gain is your dependent variable. Confounding variables are any other variable that also has an effect on your dependent variable.

Soledat Boemer

Pundit

What are the variables in an experiment?

A variable is any factor, trait, or condition that can exist in differing amounts or types. An experiment usually has three kinds of variables: independent, dependent, and controlled. To be clear though, for a science fair, it is usually wise to have only one independent variable at a time.

Miyoko Ivaylov

Pundit

What is a confounding variable in an experiment?

A confounding variable is an outside influence that changes the effect of a dependent and independent variable. This extraneous influence is used to influence the outcome of an experimental design. Confounding variables can ruin an experiment and produce useless results.

Zoya Lopez De Coca

Pundit

How do you Operationalise a variable?

Operational variables (or operationalizing definitions) refer to how you will define and measure a specific variable as it is used in your study. For example, if we are concerned with the effect of media violence on aggression, then we need to be very clear what we mean by the different terms.

Deysi Macrae

Teacher

Are demand characteristics a confounding variable?

Confounding Variables. Sometimes factors other than the IV may influence the DV in an experiment. Demand Characteristics are the cues in a study (characteristics) that may lead the participant to figure out how they're supposed to act (according to the demands of the researcher/experiment).

Georgieva Tonnis

Teacher

What are examples of independent and dependent variables?

Independent and Dependent Variable Examples
  • In a study to determine whether how long a student sleeps affects test scores, the independent variable is the length of time spent sleeping while the dependent variable is the test score.
  • You want to compare brands of paper towels, to see which holds the most liquid.

Romaisaa Benke

Teacher

Why are extraneous variables problematic?

The researcher cannot be sure that all extraneous variables have been equally distributed across the groups. Why are extraneous variables problematic? The researcher does not know if the results are due to the independent variable or to the extraneous variables.

Deivis Arriezu

Teacher

How do you identify a confounding variable?

A simple, direct way to determine whether a given risk factor caused confounding is to compare the estimated measure of association before and after adjusting for confounding. In other words, compute the measure of association both before and after adjusting for a potential confounding factor.

Limam Rahtkens

Reviewer

Are all extraneous variables confounding?

There are two types of variables that can lower internal validity: extraneous variables, which are any factors that are in the experiment but not being studied, and confounding variables, which are related to the independent variable and affect the dependent variable.

Solaiman Volkman

Reviewer

How do confounding variables affect validity?

Confounding variables (aka third variables) are variables that the researcher failed to control, or eliminate, damaging the internal validity of an experiment.

Aimin Mizquiri

Reviewer

What are order effects?

Order effects refer to differences in research participants' responses that result from the order (e.g., first, second, third) in which the experimental materials are presented to them. Order effects can occur in any kind of research.

Akemi Steinsailer

Reviewer

What is quasi experimental research design?

A quasi-experiment is an empirical interventional study used to estimate the causal impact of an intervention on target population without random assignment. Quasi-experiments are subject to concerns regarding internal validity, because the treatment and control groups may not be comparable at baseline.