Correlational Analysis Not all research uses an experimental design. Correlational analysis examines a number of instances and asserts, based on various initial assumptions (which we will examine in the section on Statistics: Correlation), that there is a co-relationship between variables.
Conducting Correlational Research by Dr. Janet Waters (revised, 2017). Research Design In general, a correlational study is a quantitative method of research in which you have 2 or more quantitative variables from the same group of participants, & you are trying to determine if there is a relationship (or covariation) between the 2 variables (that is, a similarity in pattern of scores between ...
Effective experimental research design always answers a specific question in a way that controls for differences in treatment populations and for other differences, usually by creating an experimental group and a control group, testing both populations before and after completion of the experiment.
Types of Experimental Design. There are two basic types of research design: True experiments; Quasi-experiments; The purpose of both is to examine the cause of certain phenomena. True experiments, in which all the important factors that might affect the phenomena of interest are completely controlled, are the preferred design.
There are four main types of quantitative research designs: descriptive, correlational, quasi-experimental and experimental. The differences between the four types primarily relates to the degree the researcher designs for control of the variables in the experiment. Following is a brief description of each type of quantitative research design, as well as chart comparing and contrasting the approaches.
A quasi-experimental design is one that looks a bit like an experimental design but lacks the key ingredient -- random assignment. My mentor, Don Campbell, often referred to them as "queasy" experiments because they give the experimental purists a queasy feeling.