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Related Experiment Video

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

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

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How Do Evaluators Differentiate Successful From Less-Than-Successful Experiences With Collaborative Approaches to

J Bradley Cousins¹, Lyn M Shulha², Elizabeth Whitmore³

¹University of Ottawa, Ottawa, Ontario, Canada bcousins@uottawa.ca.

Evaluation Review

|March 18, 2016

Summary

This summary is machine-generated.

Successful collaborative approaches to evaluation (CAE) involve greater stakeholder agreement, clearer purposes, and deeper participation. Evaluators

Keywords:

collaboration evaluation contexts evaluation purposes and processes stakeholder participation

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Area of Science:

Evaluation Studies
Social Sciences

Background:

Collaborative Approaches to Evaluation (CAE) involve stakeholders co-producing evaluation knowledge.
Understanding factors differentiating successful from less successful CAE is crucial for improving evaluation practice.

Purpose of the Study:

To explore how evaluators distinguish between successful and less successful Collaborative Approaches to Evaluation (CAE).
To identify key characteristics associated with highly successful CAE projects.

Main Methods:

An online questionnaire survey was administered to 320 evaluators practicing CAE.
Respondents reflected on one highly successful and one less successful CAE project.
Evaluations were rated on stakeholder perspectives, purposes, and participation levels.

Main Results:

Successful CAE exhibited higher stakeholder agreement on program focus.
Higher intentionality in evaluation justification and espoused purposes were noted in successful CAE.
Wider ranges and deeper levels of stakeholder participation characterized successful evaluations.

Conclusions:

Stakeholder agreement, clear evaluative purposes, and extensive participation are key indicators of successful CAE.
Further research on CAE is needed to refine best practices.