Difference Between Correlational & Experimental Research
Correlational |
Experimental |
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Definition | A correlation describes the theory and/or direction of the relationship between two or more variables. | A study that uses sets of variables and a theory is called experimental research. |
Benefits | Correlational research allows researchers to collect much more data than experiments. | Researchers have firm control over variables to obtain results. |
Examples | The relationship between paddy yield and fertilizer use is an example of a simple correlation, meaning that the presence of one variable has an impact on another. | Testing methods that combine various chemical elements to observe how one element affects another are used in experimental research. |
Difference Between Correlational and Experimental-Research
Non-experimental research methods like correlational research are used to look at correlations between two or more variables. Positive or negative correlations suggest that as one measure rises, the other either rises or falls. To study the cause-and-effect relationship between various variables, experimental research manages one or more of them. Researchers can accurately see how changing one variable influences the other through this manipulation. The reason and effect of data variance can frequently be determined with the greatest certainty through this kind of investigation.
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