an experiment
No
A case study
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Only one variable at a time . after one time has passed you can use more ..
Ex Post Facto (also called Causal Comparative Research) is useful whenever: • We have two groups which differ on an independent variable and we want to test hypotheses about differences on one or more dependent variables OR • We have two groups which already differ on a dependent variable and we want to test hypotheses about differences on one or more independent variables
Doing so can enable you to pinpoint which independent variable had what effect on the dependent variable. If more that one variable is altered, there is no way of knowing which of them actually contributed to the change without doing further experimentation.
The number of dependent variables in an experiment varies, but there is often more than one. experiments also have controlled variables are quantities that a scientist wants to remain constant, and he must be observe them as carefully as the dependent variables.
Independent, it is in the name, more variables are: dependant variable- the one you keep the same control variable- mearsuring variable
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Correlation Research Method, a statistical measure of a relationship between two or more variables, gives an indication of how one variable may predict another.
In the lab you have more control over variables
In the lab you have more control over variables
this method provides an explanation about the extent of relationship between two or more variables. it examines the relationships including similarities or differences among several variables.
this method provides an explanation about the extent of relationship between two or more variables. it examines the relationships including similarities or differences among several variables.
It is simplest if only one variable is changed at a time, but that requires more experiments or a larger sample. That may not always be possible.However, if more two or more variables are changed at a time, it is important that the experiment is well designed so that their interaction is either nullified or can be estimated.
Only one variable at a time . after one time has passed you can use more ..
Correlation Research Method, a statistical measure of a relationship between two or more variables, gives an indication of how one variable may predict another.
There should be one dependent variables. Depending on the type of research you are doing, the amount of independent variables will change. If you are doing research on a large scale, you will use more independent variables. If it's on a small scale, you will use very little. If you are not able to run your regression it means your sample size is too small or you have too many independent variables.
if the question refers to Independent, dependent and control variables, then the limiting factors are the control variables which are the items that will not be changed or modified during an experiment for more information, please refer to the 'scientific method"