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Psychological attributes of energy conservation activities

Date Issued
August 1, 1980
Author(s)
Webber, Robert Ernest.
Advisor(s)
John W. Lounsbury
Additional Advisor(s)
Eric Sundstrom
Schuyler W. Huck
H. Dudley Dewhirst
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/53657
Abstract

This study applied a multi-attribute model to improve the level of understanding of psychological factors associated with residential energy conservation. Personal interviews were conducted with 126 middle-class households and ratings of 12 attributes were obtained for five residential energy conservation activities.

Seven research issues were investigated and it was found that: (1) attribute ratings were not generalizable across energy conservation activities; (2) multiple regression models were superior to simple summation models for predicting activity levels from attribute ratings; (3) a normalizing transformation of the attribute ratings did not substantially improve activity prediction; neither did (4) multiplicative inclusion of a general importance rating of each attribute; (5) attempts to identify attribute subsets by factor analysis and stepwise multiple regression led to mixed results; (6) monetary and nonmonetary attributes should be considered together for predicting activity levels; and (7) both attribute ratings and demographic variables were useful for predicting level of residential energy conservation activities.

It was concluded that performance of one energy conservation activity by a household did not necessarily imply performance of other activities; there were no general energy conservation activity subsets. In addition, no common set of predictors was identified which could be applied across activities; there was no general strategy for predicting energy conservation activities. Implications for policy-makers and program planners are discussed.

Degree
Doctor of Philosophy
Major
Industrial and Organizational Psychology
File(s)
Thumbnail Image
Name

Thesis80b.W423.pdf

Size

8 MB

Format

Adobe PDF

Checksum (MD5)

100f0d26c5ddce40f547a5077bda1673


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