Explain the difference between correlational quasiexperiment

Explain the difference between correlational, quasi-experimental, and true-experimental design

Solution

First let\'s look at quasi-experimental research. Quasi-experimental means that the research will include features of a true experiment but some elements may be missing. The most common experimental element to be missing is a random sample. A random sample occurs when every individual in the group being studied has an equal chance of being selected. Without a random sample, it is more difficult to demonstrate cause and effect links in research.

In human growth and development research, case studies and correlational research are also often used. These types of studies must be carefully conducted so that the data obtained has validity. Validity is a term that refers to whether or not a study measures what it is supposed to measure.

It is important to remember that this type of research can only be used to describe what is being seen. No cause and effect relationship can be inferred from the observations. It is also important to be aware of any personal bias on the part of the observer.