Correlation Research

Correlational Research 

By: Kyle Miller

This week in Arc 500, I presented a Correlational Research from the Architectural Research Methods written by Linda Groat and David Wang. “Correlational Research is the signature characteristic of this research design is the discovery of patterns or relationships among specified variables of interest in a particular setting or circumstance” (Groat, 16). An example given in the book is that “Many high correlations between the number of ice cream cones and deaths by drowning – can be explained by hidden third factors, in this case hot weather.” There are several ways in which correlation research can be done by doing surveys, observation, mapping, sorting, archives, multiple regression, factor analysis and multidimensional scaling. One that I found that related a lot to my thesis topic is multiple regression. An example in the book was Olusegun Obasanjo used a survey that measured adolescents' subjective experience of various social behaviors. He looked at cognitive functioning, environmental quality, housing quality, neighborhood quality and access to restorative resources. Obasanjo was influenced by well-known research by Stephen Kaplan are defined as places and experiences that are likely to enable people to experience the quality of being away, thereby overcoming mental fatigue (Groat, 239). Space does not permit a complete description of the relationships among the all the variables but can facilitate, hinder, or exemplify notions created by the social variables [demographics, physical variables of landscapes etc.] This relates to how I will look into Positive impacts of Architecture on the Behavior of students afflicted with ADHD by using Martial Arts. I will start using this blog to keep you up to date on my thesis.