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.
Correlational research is a type of non-experimental research design that examines the relationship between two or more variables without manipulating them. It seeks to determine if there is a statistical relationship between the variables, but does not imply causation. Correlational studies provide information about how variables are related and can help generate hypotheses for further research.
In the lab you have more control over variables
In the lab you have more control over variables
Experimental research involves manipulating variables to determine cause-and-effect relationships, while correlational research examines the relationship between two or more variables without manipulation. Experimental research allows for greater control over variables and enables researchers to draw stronger causal inferences compared to correlational research.
Correlational research method is a type of study that looks at the relationship between two or more variables in order to determine if and how they are related. It involves measuring the variables as they naturally occur without manipulating them. Correlational studies can provide valuable insights into potential relationships between variables but cannot establish causation.
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 ..
Passive research involves observing behavior without interacting with participants, allowing for a more naturalistic setting but limited control over variables. Active research involves direct engagement with participants, offering more control over variables but potentially influencing participant responses. Both approaches have their strengths and weaknesses, which should be considered based on the research goals and context.