The Effect of Multiple Interventions on Environmental Attitudes and Behaviors

Abstract

New federal mandates require federal entities to reduce resource usage across the board. Additionally, commercial enterprises are evaluating methods of reducing resource consumption to reduce costs and become more ecologically friendly. In response, researchers have begun to evaluate the intentions and behaviors of individuals to determine how to encourage individual participation in reduction methods. This study used a quasi-experimental design of non-equivalent groups to evaluate the effects of Computer Based Training and persuasive speech on individual environmental attitudes and behavior. Using the Theory of Planned Behavior model to determine intentions and behaviors, this study utilized surveys to evaluate the relative effects of the interventions. The results provide managers with information that can help determine how to use intervention in their organizations to effectively change individual attitudes, intentions, and behaviors with respect to resource reduction. A key finding of this study was that Computer Based Training appears to have no short or long-term effects on environmental cognitive processes. Additionally, it was found that a persuasive speech was able to increase an individual?s subjective norm which then showed a moderate link to long-term environmentally friendly behavior.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 22, 2012
Accession Number
ADA558294

Entities

People

  • Jeremy P. Kinne

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Cognition
  • Computer-Aided Instruction
  • Data Science
  • Education
  • Environment
  • Environmental Protection
  • Factor Analysis
  • Information Science
  • Psychology
  • Social Psychology
  • Statistical Analysis
  • Statistics
  • Surveys
  • Teaching Methods
  • Training
  • United States Government

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Instructional Design and Training Evaluation.
  • Theoretical Analysis.