Empirical Research

Empirical research is defined by the context of two separate types of study.   Both methods are of value to the researcher in his/her quest for better understanding of the test subjects.   However, correlational and experimental studies each has its own set of qualifications which allow for differences in subject and matter.   Scientifically, some of these are useful, though others could be viewed as problematic.  

Correlational research is the process of studying the relationship between two variables.   The examiner does not manipulate a relational study.   Findings can either be positive, negative, or unrelated.   Though scientific in the final statistical manner; the researcher uses his senses to observe and ultimately determine into which category a study falls.   A positive correlation shows increases in both variables.   Alternately, negative correlation looks at the increase in one variable, and the relation to the decrease in the other variable.   There has to be an association between the two, or the result is unrelational.  

The scientific element to a correlational study is a measurable expression of degree defined as the correlational coefficient.   It is a practical technique that gives a representation to the study.   Numbers correspond with the level of correlation from a negative one demonstrating a perfect negative correlation, to positive one, showing a precise positive correlation.   A zero on this graph would indicate no relation, or an unrelational correlation.  

There is not much science in a \"guess\" or \"reliable hint\" as McAdams discusses in explaining correlational context.   Case in point, McAdams uses height and weight to show a positive correlation.   The assumption is that, \"If you know that John is tall [then]… he is relatively heavy (compared to a shorter person).\"   Here, there is a lack of information in regard to the participants, their health, history, and lifestyle.   Some of the disadvantages have to do with...