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JSEM: a framework for identifying and evaluating indicators.

J B Hyman1, S G Leibowitz

  • 1Dynamic Corp. Environmental Services, U.S. EPA NHEERL, Corvallis, OR, USA. jeffh@mail.cor.epa.gov

Environmental Monitoring and Assessment
|April 3, 2001
PubMed
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This study introduces judgement-based Structural Equation Modeling (JSEM) to select optimal indicator combinations for unmeasured endpoints. JSEM uses expert judgment to evaluate indicator adequacy, improving ecological assessments.

Area of Science:

  • Ecological assessment
  • Environmental monitoring
  • Indicator development

Background:

  • Selecting optimal indicator combinations under cost constraints is challenging.
  • Evaluating indicators for unmeasured endpoints requires robust methodologies.

Purpose of the Study:

  • To present a novel approach for identifying and evaluating indicator combinations when mathematical relationships with endpoints are unknown.
  • To address limitations in indicator development for ecological assessments.

Main Methods:

  • Utilizes judgement-based Structural Equation Modeling (JSEM), an adaptation of SEM.
  • Employs expert judgment to formalize information on indicator-endpoint relationships.
  • Applies a two-stage process: conceptual model development and indicator strength index calculation.

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Main Results:

  • JSEM allows indicator evaluation without complete data, relying on expert judgment.
  • A conceptual model identifies relevant indicators, and an index quantifies their collective strength.
  • The approach provides a framework for validating models and refining indicator strength as data emerge.

Conclusions:

  • JSEM offers a rigorous and consistent method for selecting indicators, especially when data is limited.
  • This approach enhances the reliability of ecological assessments by incorporating expert knowledge.
  • It facilitates the development of effective indicators for complex environmental endpoints.