Use of loglinear models to assess factors influencing concern for the natural environment.

Since it is necessary to isolate the most significant factors influencing personal concern for the environment, this paper utilizes loglinear models for identifying the interactions and interrelationships underlying multidimensional environmental survey data. A field study in Guyana conducted face-to-face interviews with 1600 citizens. Acquired categorical data were then subjected to loglinear modeling techniques to determine what significance the factors education, age, residential location, and gender have on personal concern for the environment. The loglinear models obtained from the five-dimensional contingency table suggest that there is a direct relationship between education and personal concern for the environment. Age has an interaction with education, and some influence on environmental concern, with younger respondents expressing higher concern for the environment than older respondents. Other results from the loglinear model demonstrate that residential location and the gender of the respondents do not have any statistically significant association with personal concern for the environment.