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A Structural Equation Modeling approach to water quality perceptions.

Jonas G Levêque1, Robert C Burns1

  • 1School of Natural Resources, West Virginia University, Morgantown, WV 26505, United States.

Journal of Environmental Management
|April 16, 2017
PubMed
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This study introduces Structural Equation Modeling (SEM) to analyze water quality perceptions in West Virginia. Key factors influencing resident perceptions include environmental concern and area satisfaction, highlighting the need for improved risk communication.

Area of Science:

  • Environmental Science
  • Public Health
  • Statistical Modeling

Background:

  • Water quality perception research often lacks consistent methodological approaches.
  • Structural Equation Modeling (SEM) is underutilized in water quality perception studies.
  • Existing studies highlight diverse factors influencing water quality perceptions.

Purpose of the Study:

  • To provide a methodological example for conducting and reporting SEM in water quality perception research.
  • To develop a model explaining relationships among factors influencing water quality perceptions.
  • To assess factors affecting residents' perceptions of drinking and recreational water quality in the Appalachian region.

Main Methods:

  • A survey was conducted in a mid-sized city in northcentral West Virginia.
Keywords:
Structural Equation ModelingWater quality perceptionsWest Virginia

Related Experiment Videos

  • Structural Equation Modeling (SEM) was employed to analyze survey data.
  • The study examined relationships between perceived water quality, health risk, organoleptic perceptions, environmental concern, area satisfaction, and surface water quality.

    • Main Results:

    • The SEM model showed a good fit, explaining 50% of the variance in health risk perceptions and 43% in organoleptic perceptions.
    • Environmental concern, area satisfaction, and perceived surface water quality were significant predictors.
    • Perceived water quality was excluded due to multicollinearity.

    Conclusions:

    • Environmental concern, area satisfaction, and perceived surface water quality significantly influence health and organoleptic perceptions.
    • The findings underscore the need for enhanced risk communication strategies by local decision-makers and water managers.
    • SEM offers a valuable methodological approach for future water quality perception research.