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Related Experiment Video

Updated: May 24, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Collaborative evaluation within a framework of stakeholder-oriented evaluation approaches.

Rita G O'Sullivan1

  • 1Evaluation Assessment, & Policy Connections, School of Education, University of North Carolina-Chapel Hill, NC 27516, United States. ritao@unc.edu

Evaluation and Program Planning
|February 28, 2012
PubMed
Summary
This summary is machine-generated.

Collaborative Evaluation engages stakeholders throughout program evaluation. This approach, unlike distanced methods, enhances designs, data, and utilization through active engagement and a flexible collaboration scale.

Related Experiment Videos

Last Updated: May 24, 2026

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

Area of Science:

  • Program Evaluation
  • Stakeholder Engagement
  • Social Science Research Methods

Background:

  • Traditional evaluation methods often exclude stakeholders.
  • Collaborative Evaluation (CE) emphasizes active, ongoing engagement between evaluators and program staff.
  • This contrasts with 'distanced' approaches that reject stakeholder participation.

Purpose of the Study:

  • To define and differentiate Collaborative Evaluation from other participatory approaches.
  • To introduce a comparative Collaborative Evaluation Framework.
  • To clarify the varied meanings and applications of CE in practice.

Main Methods:

  • Systematic engagement of stakeholders in evaluation planning and implementation.
  • Application of a sliding scale for collaboration levels based on program needs, readiness, and resources.
  • Comparative analysis using a theoretical framework to distinguish CE from other participatory evaluation models.

Main Results:

  • Active stakeholder engagement leads to stronger evaluation designs, improved data collection and analysis, and increased result utilization.
  • CE employs a flexible, sliding scale for collaboration, adapting to specific program contexts.
  • A theoretical framework clarifies CE's distinctiveness from participatory and empowerment evaluation.

Conclusions:

  • Collaborative Evaluation offers a robust model for enhancing program evaluation through deep stakeholder involvement.
  • The sliding scale mechanism allows for adaptable and context-specific collaboration.
  • Distinguishing CE theoretically prevents confusion with similar, yet distinct, participatory evaluation approaches.