Presentations, materials and other resources offered throughout the 2019 Continuous Quality Improvement Statewide Conference for Child Welfare and Probation at UC Davis.
Introduction to econometric models and techniques, simultaneous equations, program evaluation, emphasizing regression. Advanced topics include instrumental variables, panel data methods, measurement error, and limited dependent variable models. May not count toward HASS requirement.
This exploratory study investigated the prevalence of single evaluation methods courses in doctoral education leadership programs. Analysis of websites of 132 leading U.S. university programs found 62 evaluation methods courses in 54 programs. Content analysis of 49 course catalog descriptions resulted in five categories: survey, planning and implementation, research and inquiry, leadership and school improvement, special approaches, and original student research. Most often elective and outside the required curriculum, evaluation methods appear to hold a consistent but secondary place in doctoral leadership training, despite its applicability in education.
The authors propose that a professional learning community is a novel and meaningful perspective from which to approach program review, particularly when the community is embedded within a reliable infrastructure such as a course.
The Program Review Course described in this Handbook follows an interdisciplinary cohort- and team-based model that is faculty-led. The course offers a reliable institutional framework for learning through formalized structures and nested support services. The course is housed in the office of quality assurance and coordinated and maintained by a quality assurance practitioner. All aspects of the course are available through a learning management system, such as Moodle. Program review teams are automatically enrolled in the course where they have access to timelines, templates, a discussion forum, and a program review handbook. During the 14-month course, faculty engage in a comprehensive review of their program and/or department. The course includes eight modules: 1) orientation, 2) curriculum mapping, 3) SOAR analysis activity, 4) surveys, 5) self-study report, 6) external review, 7) action planning, and 8) reporting results to the university community.
This team-based course is designed to evaluate program performance in relation to student success, curriculum content, program viability and impact, and the program’s contribution to the university’s mission and vision. Program performance is measured through a combination of self- and external peer- evaluation. Through evidence-based inquiry and analyses, findings are documented in a comprehensive report leading to an action plan and goals for program improvement over the next five to seven years.
A Review of Open Education Resources for Program Evaluation at the Undergraduate Level