Related Experiment Videos
Modelling categorical data to identify factors influencing concern for the natural environment in Iran
Abdolhossein Parizanganeh1, V Chris Lakhan, Mahmoud Yazdani
1Department of Geology, Faculty of Science, Zanjan University, PO Box 45195-313, Zanjan, Iran.
Abstract:
Loglinear modelling techniques were used to identify the interactions and interrelationships underlying categorical environmental concern data collected from 9062 respondents in Iran. After fitting various loglinear models to the data, the most parsimonious model highlighted that a combination of interacting factors, namely educational attainment, age, gender, and residential location were responsible for influencing personal concern for the environment. Although high educational attainment had a close correspondence with high concern for the environment the loglinear results, when visualized with a geographical information system, demonstrated wide spatial variations in educational attainment and concern for the environment. Nearly two-thirds of the respondents were not highly educated, and were therefore not highly concerned for the environment. The finding that both rural and urban male and female respondents in the 15-24 years age category, with 10-12 years of education, had the strongest interaction with personal concern for the environment could be beneficial for policy planners to utilize education as the primary instrument to enhance environmental governance and prospects for sustainable development.
Related Concept Videos
Environmental Influences on Intelligence
Dimensions of Health and Illness
Naturalistic Observations
Surveys
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Socioemotional Experience and Gender Development