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Q: Why not use more control variables rather than depend on randomization as the means of controlling extraneous variables?
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Masks the true relationship between the independent and dependent variables?

control


What are the differences between field study and lab study?

Lab study - Artificial environment, high degree of control over extraneous variables Field study - Real environment, low degree of control over extraneous variables but the results gain ecological validity


Why is important to control variables in an experiment?

So that you can know what is the manipulating variable, the controlling variable, and the responding variable! To control the variables!


What does controlling other variables mean?

the control variable is the same


What are controlling variables?

== ==


What is the difference between controlling variables and using controls?

Controlling variables is when you make sure that only one variable is being tested at a time and that there are not other variables that will make your results unclear. Using a control is when you do a trial without the variable to see what the normal results are.


Is A variable that changes outside the control of the participants an independent variable?

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.


Why it is difficult to control extraneous variables in class rooms?

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.


Randomization in an experiment reduces bias between the treatment and control groups?

True


What is the difference between correlation and experiment?

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.


What is statistical control?

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.


What is analysis of covariance used for?

Analysis of covariance is used to test the main and interaction effects of categorical variables on a continuous dependent variable, controlling for the effects of selected other continuous variables, which co-vary with the dependent. The control variables are called the "covariates."