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Using logic model and visualization to conduct portfolio evaluation.

Huang Wu1, Jianping Shen1, Jeffrey Jones2

  • 1Department of Educational Leadership, Research and Technology, Western Michigan University, Kalamazoo, MI, United States.

Evaluation and Program Planning
|March 13, 2019
PubMed
Summary
This summary is machine-generated.

This study demonstrates how logic models and data visualization can enhance portfolio evaluation for early care and education (ECE) programs. The methods identified key strategies, activities, and outcomes, revealing dominant paths within the ECE project portfolio.

Keywords:
Data visualizationLogic modelPortfolio evaluationProgram evaluation and planning

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Area of Science:

  • Program Evaluation
  • Data Visualization
  • Early Care and Education (ECE) Systems

Background:

  • Portfolio evaluation, assessing multiple related projects, is crucial for understanding collective impact.
  • Logic models and data visualization are established evaluation tools but their combined use in portfolio evaluation is under-explored.
  • Early care and education (ECE) systems benefit from robust evaluation to ensure program effectiveness and strategic alignment.

Purpose of the Study:

  • To illustrate the integrated application of logic models and data visualization for portfolio evaluation.
  • To assess the reflection of logic model elements (strategies, activities, outcomes, impacts) within a sample ECE portfolio.
  • To identify dominant pathways and critical paths through the logic model using data visualization techniques.

Main Methods:

  • Utilized a sample portfolio of 209 early care and education (ECE) projects.
  • Applied logic modeling to map project components and intended results.
  • Employed data visualization techniques to analyze and present the portfolio's structure and pathways.

Main Results:

  • Data visualization effectively illuminated dominant strategies, sub-strategies, activities, and outcomes within the ECE portfolio.
  • The study successfully identified several critical paths through the logic model, demonstrating program interconnections.
  • The integrated approach provided a clear overview of portfolio elements and their relationships.

Conclusions:

  • The simultaneous use of logic models and data visualization offers a powerful approach to portfolio evaluation.
  • This methodology enhances the ability to understand program strategies, identify key pathways, and inform future program planning.
  • Findings have significant implications for improving the evaluation of complex ECE initiatives and similar multi-project portfolios.