CAUTION – Evaluation Theories at Work: An exploration of evaluation theories and their potential use to inform practice (F5)

This workshop has been cancelled.

Abstract

Since there can be no evaluation without an evaluation theory, those who practice program evaluation should feel comfortable articulating the theoretical framework they intend to use when conducting an evaluation. Designed specifically from the perspective of practitioners, this workshop will allow participants to enhance their understanding of the range of evaluation theories currently available to guide their practice. Just as importantly, participants will also use actual evaluation cases to explore how they can systematically integrate theoretical considerations when designing their methodological approach. Through a combination of open discussions and group exercises, this workshop intends to bridge theory and practice, recognizing the pivotal role that both play in shaping the field of program evaluation.

Facilitator(s)

François Dumaine

For the past 15 years, François Dumaine has conducted program evaluations relating to a wide range of policy fields, particularly in the areas of justice, Aboriginal affairs, and official languages. During that period, François has explored many dimensions of evaluation theories, and has presented on this topic at several occasions including CES Webinars and conferences.

Workshop Level

Intermediate

Pre-requisites

Participants should have some experience conducting program evaluation, and be familiar with the pillars of evaluation practice (design, data collection, analysis and reporting). Participants should also have knowledge of the typical methods used to collect data. In-depth knowledge of evaluation theories is not required.

Date and time

Sunday, June 15, 2014
9:00 am to 4:30 pm

Alignment with CE Designation Competencies

  • Applies professional evaluation standards
  • Understands the knowledge base of evaluation (theories, models, types methods and tools)
  • Determines the purpose of the evaluation
  • Develops evaluation designs
  • Defines evaluation methods