The online MS in Evaluation & Applied Research will train you as you build your professional career in policy and management with a foundation in state-of-the-art scientific knowledge and methodologies.
The Master’s in Evaluation & Applied Research curriculum emphasizes functional relevance for practicing evaluators. Utilizing cutting-edge tools and software, you will work with fellow professionals while increasing your skills and qualifications for evaluation and auditing roles in government, education, global health, psychology, and/or the non-profit sector.
Meet Our Faculty
Stewart I. Donaldson, PhD
- Professor of Psychology and Community & Global Health, Executive Director of Claremont Evaluation Center, and Director of The Evaluators' Institute (TEI)
Professor Donaldson is responsible for dramatically expanding the portfolio of evaluation and applied research programs at CGU. Many of his evaluation and applied research students work with him on projects as part of the Claremont Evaluation Center and as part of Professor Donaldson’s Theory-Driven Evaluation Science Lab. He is past president of the American Evaluation Association (2015) and has served on numerous boards, including those of the International Positive Psychology Association, Western Psychological Association, Western Positive Psychology Association (co-founder), American Evaluation Association, Centre for Program Evaluation at the University of Melbourne, The Faster Forward Fund, Southern California Evaluation Association (co-founder), and EvalPartners. He currently serves as editor of the Evaluation and Society book series (with Jennifer Greene), and as a member of the editorial boards of the International Journal of Applied Positive Psychology, American Journal of Evaluation, New Directions for Evaluation, Evaluation & Program Planning, and Journal of Multidisciplinary Evaluation.
Andrew Conway, PhD
- Associate Provost for Research and Professor of Psychology
Professor Conway’s research in the field of cognitive psychology centers on understanding individual differences in intelligence and working memory capacity, the ways in which cognitive abilities are measured, and the function of these varying abilities in real-world cognitive tasks such as learning new information, reading and listening comprehension, and decision making. He publishes extensively on the subject of working memory; together with several other memory researchers, he contributed the entry on “Working Memory and Intelligence” to The Cambridge Handbook of Intelligence in 2011. He has published other articles on the subject that can be found in Memory & Cognition; Attention, Perception & Psychophysics; Cognitive, Affective & Behavioral Neuroscience; and Psychonomic Bulletin & Review.
Tarek Azzam, PhD
- Associate Professor of Evaluation and Applied Methods
Professor Azzam is an associate professor at the Division of Behavioral & Organizational Sciences at Claremont Graduate University. His research focuses on developing new methods suited for real-world evaluations, attempting to address some of the logistical, political, and technical challenges that evaluators commonly face in practice. His work aims to improve the rigor and credibility of evaluations and increase potential impacts on programs and policies. Projects with which he has been involved have included the evaluation of student retention programs at the K–12 and university level, Science Technology Engineering Math (STEM) education programs, pregnancy prevention programs, children’s health programs, and international development efforts for the Rockefeller and Packard Foundations.
Theory-Driven Evaluation Science
Credits: 4 Course #: EVAL 310 Professor: Stewart I. Donaldson
This course will provide you with an in-depth understanding of theory-driven evaluation science, with special emphasis on the foundations of evaluation theory and practice.
- Learn how to apply evaluation, program, and social science theory to improve evaluation practice.
- Learn to engage diverse stakeholders in the process of developing logic models and theories of change.
- Learn to design comprehensive, tailored, ethically defensible, and culturally responsive theory-driven evaluations.
Evaluation & Applied Research Methods: A Survey of Quantitative and Qualitative Approaches
Credits: 4 Course #: EVAL 315 Professor: Rebecca Eddy
This survey course offers an overview of evaluation and applied research methods and related ethical issues.
- Study quantitative and qualitative evaluation methods.
- Engage with research and evaluation design.
- Explore applied social science research topics such as sampling, measurement, validity, reliability, and related threats.
- Explore specific data collection strategies, meta-evaluation, and reporting methods for communicating findings.
Quantitative Analysis & Statistics for Evaluation & Applied Research
Credits: 4 Course #: EVAL 320 Professor: Andrew Conway
The purpose of this course is to introduce you to the social science statistical technique known as multiple regression. All course examples are presented using R software.
- Explore the general linear model (GLM).
- Explore null hypothesis significance testing.
- Explore model comparison.
- Consider the value and efficacy of alternative approaches when appropriate.
Qualitative Research Methods for Evaluation & Applied Research
Credits: 4 Course #: EVAL 325 Professor: Kendall Cotton Bronk
This course is designed to introduce you to different types of qualitative research methods, their use and efficacy as evaluative tools, and the theoretical paradigms underlying them. Topics include field observation, interviewing, document analysis, content analysis, and case studies.
- Explore the appropriate application of various qualitative research methods.
- Review the strengths and limitations associated with these techniques.
- Gain experience employing different forms of qualitative research.
- Learn how to choose an appropriate method for a given project.
- Learn how to conduct, analyze, and critique qualitative research.
Mixed Methods in Evaluation & Applied Research
Credits: 4 Course #: EVAL 330 Professor: Tarek Azzam
After you have developed familiarity with both quantitative and qualitative research methods, this provides an overview of mixed methods research.
- Learn the history and foundations of the mixed methods research methodology.
- Examine the types of mixed methods designs available.
- Explore the process of research as it relates to each of these designs.
Evaluation & Applied Research Procedures
Credits: 4 Course #: EVAL 385 Professor: Tarek Azzam
This course is designed to help you translate what you have learned in previous courses into real-world contexts. You will engage with a series of simulations, group activities, and interactive discussions, and you will determine how best to respond to commonly occuring evaluation situations ranging from the technical, to the methodological, to the logistical, to the political.
- Become familiar with numerous approaches to evaluation practice.
- Gain a better understanding of the issues that frequently emerge in evaluation contexts.
- Develop a set of skills and tools to help deal with these practical issues.
Health Evaluation and Applied Research
Credits: 4 Course #: EVAL 350 Professor: Jason Siegal
With an emphasis on developing a speciality in health programs and policies, this course teaches students how to conducted applied research and evaluation studies in community and global health settings. Students will learn how to undertake their own evaluation and applied research studies, including how to pose evaluation and research questions, data collection methodologies and appropriate methods for various evaluation and research objectives, and various evaluation and research designs.
Designing and Evaluating Positive Psychology Interventions
Credits: 4 Course #: EVAL 375 Professor: Stewart Donaldson
With an emphasis on developing a speciality in positive psychology and mental health issues, this course teaches students how to design positive psychology and mental health focused interventions, and conduct applied research, monitoring and evaluation studies in complex community and global mental health settings and systems. Students will learn how to design interventions and undertake their own evaluation and applied research studies, including how to pose evaluation and research questions, data collection methodologies and appropriate methods for various evaluation and research objectives, and various evaluation and research designs.