Monitoring and evaluation are important components of any healthcare service or program. In the effort to reduce disease, monitoring and evaluation can ensure utilization of resources efficiently and effectively to achieve the best health outcomes. Evaluation not only helps us understand what impact programming is having on participants, it helps identify areas for improvement and shows accountability to funders. The tools in this section will help guide your organization through some critical components of evaluation.
Webinar: Developing Logic Models for Program Design and Evaluation
April 18th, 2012 11:00 am Pacific Time – To access this archived webinar please click here
This webinar provided an overview of the Centers for Disease Control and Prevention’s Evaluation Framework and explained the important role that logic models can play in evaluation efforts. The webinar explored the uses, limitations, characteristics and components of a logic model, and provided information and resources to support the development and application of logic models in their own program evaluation efforts.
Webinar: Focusing An Evaluation
March 6, 2013 | 11:00 am Pacific Standard Time – To access this archived webinar please click hereThis webinar examined the development of appropriate and useful evaluation questions. After reviewing the definition and purposes evaluation as well as logic models, the presenter provides an overview of:
Webinar: Collecting Credible Data
August 19, 2014 | 11:00 am Pacific Time – To access this archived webinar please click hereThis webinar was the third in a series exploring the Centers for Disease Control and Prevention’s evaluation framework and focused on data collection methods. During this webinar the presenter provided an overview of guiding principles for collecting evaluation data, considerations when choosing data collection methods, and an introduction to various methods of qualitative and quantitative data collection.
Webinar: Introduction to Analyzing Evaluation Data
August 26, 2014 | 12:00 pm Pacific Time – To access this archived webinar please click herePresented by Jami Bartgis, PhD this webinar provided an introduction to the principles of quantitative and qualitative data analysis to support evaluation efforts. In addition to defining what data analysis means, this webinar explored the processes and factors to consider when analyzing data, defined reliability and validity in relation to data analysis, and introduced a number of data analysis techniques.
A resource guide (available for download here) accompanies this webinar to provide further tools and information on each of the topics presented.
If you have evaluation tools you would like to share on this page as a resource, please contact us.