Question

What are the major differences between correlational studies and experimental reaserch ? What methods are used in both what are the results etc

Answer 1

Correlational Methods

In a correlation study, the research teammates or researcher do not have control on the variables which are used in the study. The researcher just simply measures the data which they finds in the world. This allows them to see whether two variables are correlated -- whether changes in one of the variables are correlated with changes in the other variables used.
Experimenters in such a study collect existing data, such as analyze it using statistical tools and economic data from governments . Sometimes, the results of correlation studies can inspire hypothesis that can be tested with a more specific experimental one.

Experimental Methods

In a controlled experiment, the researcher or research team has control over the independent variable used in the experiment and even on the other aspects of the experiment. This allows the researchers to make observation and turn conclusions about whether the independent variable really affects the dependent variable, as opposed to the variables changing at the same time through coincidence. The researcher has the chance also to eliminate the effects of other variables.
For example, the researcher can add precise amounts of fertilizer to different areas of the same wheat field, measure the differences in wheat yield, as the while other factors, such as sun, rainfall, soil make-up and exposure are the same.

Differences and Overlap

The strength and power of the experimental treatment is, it isolates the relationship between the dependent and independent variable.
In a correlation study, there might be other variables influences which make it hard to measure how strong the relationship between the two really is. Experimental studies are often more difficult and expensive to run. Correlation studies can explore and find a relationship to see whether the later expense of a controlled experiment, as well as study a larger data set than may be feasible in an experiment. Some researchers will use both methods in a study, conducting an experiment and then carrying out correlation analysis on the results..

In correlational studies a researcher looks for associations between or even among naturally occurring variables, whereas in experimental studies the researcher gets change and then monitors its effects according to its choice.!!