ASSESSING THE IMPACT OF ENERGY VARIABLES ON COMMUNITY QUALITY: THE APPLICATION OF LINEAR STATISTICAL MODELS IN CROSS-VALIDATION OF ENVIRONMENTAL ASSESSMENT PARADIGMS

LYNNE HARRINGTON BROWN, Purdue University

Abstract

The research reported herein was designed to examine the extent to which linear statistical models derived from Brunswik's Lens Model could predict judgments of community quality based on the four community functions of personal relations, recreation, maintenance and change and personal development plus community size and information about energy availability and cost. Judgments of community quality were collected from 57 observers and multiple linear regression equations were utilized to predict those judgments. It was concluded that judgments of community quality could be accounted for as a linear function of the available information. The presence of energy information modified the manner in which community quality was perceived in both an additive and interactive manner.

Degree

Ph.D.

Subject Area

Psychology

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